Using cloud-hosted large language models (LLM) can be quite expensive, which is why hackers have apparently begun started stealing, and selling, login credentials to the tools.
Cybersecurity researchers Sysdig Threat Research Team recently spotted one such campaign, dubbing it LLMjacking.
In its report, Sysdig said it observed a threat actor abusing a vulnerability in the Laravel Framework, tracked as CVE-2021-3129. This flaw allowed them to access the network and scan it for Amazon Web Services (AWS) credentials for LLM services.
New methods of abuse
“Once initial access was obtained, they exfiltrated cloud credentials and gained access to the cloud environment, where they attempted to access local LLM models hosted by cloud providers,” the researchers explained in the report. “In this instance, a local Claude (v2/v3) LLM model from Anthropic was targeted.”
The researchers were able to discover the tools that the attackers used to generate the requests which invoked the models. Among them was a Python script that checked credentials for ten AI services, analyzing which one was useful. The services include AI21 Labs, Anthropic, AWS Bedrock, Azure, ElevenLabs, MakerSuite, Mistral, OpenAI, OpenRouter, and GCP Vertex AI.
They also discovered that the attackers didn’t run any legitimate LLM queries in the verification stage, but were rather doing “just enough” to find out what the credentials were capable of, and any quotas.
In its news report, The Hacker News says the findings are evidence that hackers are finding new ways to weaponize LLMs, besides the usual prompt injections and model poisoning, by monetizing access to LLMs, while the bill gets mailed to the victim.
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The bill, the researchers stressed, could be quite a big one, going up to $46,000 a day for LLM use.
“The use of LLM services can be expensive, depending on the model and the amount of tokens being fed to it,” the researchers added. “By maximizing the quota limits, attackers can also block the compromised organization from using models legitimately, disrupting business operations.”
April 1, 1976: The Apple Computer Company is founded by Steve Jobs, Steve Wozniak and Ronald Wayne. The trio sets out to sell the $666 Apple-1 computer.
Apple will not officially become a corporation until January 3 the following year. By that time, Wayne is no longer a part of the business.
This post contains affiliate links. Cult of Mac may earn a commission when you use our links to buy items.
Apple founded to turn Apple-1 from hobby to ‘real computer’
Apple’s initial ambitions were quite modest. Wozniak started working on the Apple-1 as a hobby, with no goal beyond showing it off to peers at the Homebrew Computer Club in Menlo Park, California.
Steve Jobs, Steve Wozniak and Ronald Wayne found Apple Computer Co.
Jobs convinced Woz that they would find more success building and selling the Apple-1 rather than giving away the designs. This led to Jobs, Woz and the older Wayne — who the Steves met at pioneering video game and computer company Atari — going into business together. And thus Apple was founded on April Fools’ Day in 1976.
Jobs and Wozniak were the main drivers behind Apple. They each received a 45% stake in the new company, while Wayne held the remaining 10%.
The original contract by which Apple was founded. Photo: Apple
Apple II computer becomes a breakthrough
By early 1977, Apple was ready to release its breakthrough Apple II. And the company lined up venture funding to fuel expansion far beyond its humble origins.
Today, Apple is a company valued at more than $2.6 trillion. That’s quite the success story! Now if only we’d invested in Apple way back when it was founded …
If you’ve been following the news here on Engadget, you know there are always new smartphones coming out to outshine your old handset and inspire some real gadget FOMO. But once you’ve upgraded, what do you do with your old phone? If it’s still in good working condition, chances are that someone out there is willing to shell out a few bucks for your castoff. And that goes for so much more than just phones since you can always find somewhere to sell your old laptops, game consoles and other electronics for a pretty penny. Learn about all of the places where you can sell your used gadgets below.
Trade-in sites
If you’re looking for the least amount of hassle and easiest way to get money in hand as soon as possible, there are plenty of sites that automate the trade-in process. You’ll select your device from a list, get a quote within minutes and send the device to the company in return for cash in a matter of days.
Decluttr
Decluttr definitely lives up to its name. Not only can you sell phones from a number of manufacturers, including Apple, Samsung and Google, but the site also takes lots of physical media, including CDs, DVDs, Blu-rays, video games and books. For devices, you’ll be asked to provide a general assessment of its condition before you’re given a quote immediately. Once you complete your order, the site will send you a free shipping label. Decluttr also will accept handsets as old as the iPhone 7, though it’ll offer you only $14 for a 32GB model in good condition.
uSell
uSell operates as a broker, searching other sites for their best offers on a given device and taking care of the rest. Like most buyback sites, it’s big on iPhones, but you can still sell off other manufacturers’ devices; it really depends on who’s buying them at that point. The selection is a bit of a grab bag — newer phones like the Galaxy S22 aren’t listed, though you can get a quote for the iPhone 15 ($672 for an unlocked, “flawless” 64GB model). Once you complete your order the site will send you a free shipping kit to send in your device, and you can get paid for the item via PayPal, Venmo or an old-fashioned check.
ecoATM
If you don’t want to have to worry about packaging up your old device and mailing it off, or would like to receive your payout right away, there’s always ecoATM. It’s literally all in the name: the company operates automated machines that you place your device into to get it examined, and it pays you out on the spot. It accepts the biggest brands (i.e., Apple, Google and Samsung), along with devices from a wide variety of manufacturers, including LG, Motorola and ZTE. If the machine determines that your device isn’t worth anything at all, you can still use ecoATM to responsibly recycle your old gadget. You’ll find ecoATM kiosks in Walmart and Kroger locations, as well as malls and check-cashing stores across the country.
Amazon
While browsing Amazon listings, it’s likely you’ve come across products marked as “refurbished.” Well, if you’ve ever wondered where those come from, a lot of them likely hail from Amazon’s trade-in program. The company will put its own products, like Kindle ereaders and Fire tablets front and center, but you can also send in phones and gaming products in for an Amazon gift card as well. It’s not great if you want cash, but if you’re looking to upgrade an Amazon device, this option is your best bet, as trading in an older one also nets you a 20 percent discount in addition to the store credit. You’ll need to print out a shipping label, or you can drop off your electronics at select Amazon Locker, Whole Foods or uBreakiFix locations.
Apple
This is a good option if you’re looking to upgrade to a newer Apple device. You can trade in iPhones, iPads, Macs and even Apple Watches. That’s notable as wearables are a category you don’t often see on trade-in sites. Apple will even take your old Android phone if you were thinking of making the switch. The trade-in values are on par with other sites, but you can get a smaller payout in the form of a gift card instead if you’d rather wait before making a new purchase, want to put it toward media purchases or even just use it in an Apple Store. The latter, by the way, also accepts trade-ins in case you’re not comfortable shipping your old but still expensive device.
It’sWorthMore
The nice thing about It’sWorthMore is that its on-site forms handle a larger variety of gadgets than other sites, incorporating companies such as Microsoft, AMD and even GoPro in addition to standards like Apple, Samsung and Google. You’ll answer a few standard questions about your device’s condition and whether you still have the original box — obviously, the more you’ve kept from the original packaging, the better. You’ll then get a ballpark estimate of its worth and a prepaid shipping label to print out. Once your device has been received, you’ll generally get the assessment and payment via check, PayPal, Zelle or a gift card in under 10 days.
BuyBackWorld
The appeal of BuyBackWorld is that device assessment is a streamlined process: Instead of having to answer a barrage of detailed questions for your device you give it a general assessment and let the site handle the rest. Just like with It’sWorthMore, BuyBackWorld will provide a printable shipping label in your confirmation email but, if you don’t have a printer or boxes to pack your device up, you can always have the site send you a free shipping kit, which can handle everything the site takes except desktop computers.
GadgetGone
If you’ve read through the other site descriptions, GadgetGone’s modus operandi should be familiar: To sell a product, you’ll have to answer a few questions about what type of device you have and what condition it’s in, after which the site will generate a prepaid shipping label. At least here you can find brands like OnePlus included among the options, and you can also sell MacBooks and Mac minis here. You can get paid a number of ways, too, including PayPal, virtual VISA card, Amazon and Target gift cards or just good, old-fashioned bank transfer.
Store trade-ins
Sometimes you need your money right now, or just don’t want to trust your device to the vagaries of various shipping companies. There are a few nationwide retailers that accept trade-ins for cash or store credit. Additionally, wireless carriers like Verizon, T-Mobile, and AT&T will all give you credit toward a new phone.
Best Buy
Best Buy also offers trade-ins both by mail and in-store — with more than 1,000 locations, this might be extremely convenient for you. You fill out the form online and bring that to customer service. It’s easy, but there’s one big downside: You can get your payout only via a Best Buy gift card. This is great if you spend a lot of money with them anyway, but not ideal if you need cash.
Target
Target isn’t as well known for its trade-in program, but it’s certainly a welcomed option. With over 1,900 locations across the US, it’s easy enough to bring your unwanted phones, tablets, game consoles, smart speakers and video games to a nearby Target’s electronics department for a quote. They’ll even package it up and ship it off to the processing facility for you. You’ll get a Target gift card via email within a week. If you can’t make it to a store, Target also offers a mail-in option.
GameStop
GameStop is infamous for buying games back at ridiculously low prices and flipping them at near retail, but don’t let that stop you from making some easy cash when you need to quickly clear your closet of old electronics and games. And yes, I said cash: GameStop offers store credit, a Visa prepaid card or actual money if you want to take your bounty elsewhere. For example, you can trade in Super Mario Bros. Wonder for the Switch and get $35 in store credit or $24.50 cash, which isn’t bad when new copies are going for $50 on Amazon. GameStop also accepts phones, tablets and Apple Watches, though the prices aren’t going to match what you’d get from an online trade-in site.
Consumer to consumer
Sometimes you prefer to cut out the middleman and get a bit more personal — a transaction where you’re selling your device directly to another person instead of letting a faceless site flip it for you as a “refurbished” unit. In those cases, you want a site that’s more user-to-user, though a few will still automate certain bits to make your sale as smooth and secure as possible.
Swappa
Swappa is a marketplace site, which means sellers can set their own price. So if you’re getting rid of a newer phone, this is probably the best way to go — the iPhone 14 fetches around $533, for example. That’s a huge improvement over what you’d get selling through a site like Decluttr, which is offering only $267 for a 128GB unit.
Amazon
When shopping on Amazon, you’ve probably been tempted by some of those marketplace deals in the past and, chances are, if you list an item on there, someone will give your old device a look. Since almost everyone on earth seems to have an Amazon account, your potential customer base is huge, and it costs only $0.99, plus a percentage based on category, to sell an item through the site. The downsides are that Amazon isn’t really optimized for individual sales; you’ll be competing with wholesale companies and even bots that will tweak the price of a product automatically in response to the competition.
eBay
eBay is sort of the Wild West of sales sites, but the biggest advantage is that you can sell anything there and hopefully find a buyer, regardless of how old a product is. Even so, the site has come a long way in the past decade or so, adding structured categories that can help lead customers to your product. For phones, you can search by network, color or storage capacity, and even filter for features like 4K video or fingerprint sensors.
In the end, it still works as it always did: You list a product and set an end date for the listing with a minimum price, or just set a “Buy It Now” price if you don’t want to wait to see how an auction turns out. Chances are you already have an eBay account with a feedback score, so there’s no extra setup required on your part. Your first 250 listings are free every month, and you’ll pay up to 15 percent of the purchase price only if an item sells. The biggest downside is that you’re competing with a lot more sellers, and chances are there’s always someone willing to undercut you on price.
Cash-back comparison
Ultimately, the site you go with should be whatever’s most useful and convenient, but if you just care about how much money you’ll get, we’ve priced out a few recent flagship handsets just to give you an idea of what each site will pay out.
All phone prices are for the lowest storage capacity, usually 128GB, and for devices that are in generally good condition with no cracks or scratches. The prices are for the unlocked models when available, or the carrier where it’s being traded. These prices were valid the day this post was written, but they fluctuate daily or, in the case of sites like Amazon and eBay, hourly.
Apple iPhone 13 Pro Max
Samsung Galaxy S22 Ultra
Google Pixel 7
$361
$268
$153
$455
N/A
N/A
$275
$185
$55
$364
$223
$127
$315
$210
$115
$330
$230
$130
$340
$235
$115
$498 credit / $349 cash
$181 credit / $127 cash
N/A
$664
$539
$293
$578
$460
$229
$350
$340
$214
$375
$275
$150
$446
$382
$165
$476
$411
$218
If you were looking to sell some games, we’ve also got a shorter list, because not every site accepts trade-ins. GameStop will offer you more money than what’s listed below if you’re a member of its Elite or Elite Pro programs.
The Legend of Zelda: Tears of the Kingdom (Switch)
Final Fantasy XVI (PS5)
Diablo IV (Xbox)
Decluttr
$20
$16
$18
GameStop
$30 credit / $21 cash
$17 credit / $12 cash
$12 credit / $8 cash
Amazon
$10 trade-in / $45 marketplace
$34 marketplace
$34 marketplace
eBay
$12
$10
$15
Once you’ve picked a site and listed your item, there are a few important things to remember before you ship off your device. At the top of the list is to do a full factory reset before disposing of a phone or laptop (or any other device) containing personal data. That also means turning off “Find My iPhone” and the activation lock on iOS devices. See if you can unlock the phone, too; you’ll actually get more money selling it carrier-free. And finally, make sure you’ve backed up any important data you may have, like contact info, game saves and, of course, photos. Cash is great, but it won’t save your memories.
Images: Mike Blake / Reuters (ecoATM); Alamy (Gamestop); Getty Images for eBay (eBay)
Apple appears to be gearing up to sell refurbished Apple Watch Ultra 2 and Apple Watch Series 9 models on its online store in the U.S. for the first time.
Apple recently added grayed-out labels for the Ultra 2 and Series 9 to its desktop refurbished website in the U.S., suggesting that it plans to sell refurbished models of those devices at some point. It is unclear exactly when availability will begin, but this is a routine step that Apple takes shortly before selling new refurbished models.
Like new Ultra 2 and Series 9 models sold directly by Apple in the U.S. currently, it is expected that the Blood Oxygen app would be deactivated on the refurbished models, due to a legal battle with medical technology company Masimo. In October, the U.S. International Trade Commission (ITC) banned Apple from importing and selling Apple Watch models with blood oxygen sensing after it ruled that the feature infringed on Masimo’s patents.
Apple stopped selling refurbished Apple Watch Series 7 and Series 8 models in the U.S. after the ban took effect, as those also offer the Blood Oxygen app.
It is also possible that Apple and Masimo could reach a settlement before Apple starts selling refurbished Ultra 2 and Series 9 models, allowing for the Blood Oxygen app to be activated on the devices. If not, the feature could still be re-enabled with a watchOS software update in the future, if and when the legal battle is resolved.
On a related note, the first-generation Apple Watch Ultra has never been offered on Apple’s refurbished store in the U.S., but it is available in the U.K., Ireland, China, and Japan. Since the ITC’s ruling applies to the U.S. only, the Blood Oxygen app is still functional on Apple Watch models sold in all other countries.
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Even though OpenAI has not released its revenue model as yet for custom GPTs available in its GPT store launched at the beginning of this year. You can still use the GPT store to help improve your sales on already existing services, platforms and newly created AI models and services. This beginners guide provides more insight into how you can build ChatGPT custom GPTs and promote them on the GPT store ready for the new revenue service to be introduced possibly this month.
The world of technology is always on the move, and for those who keep up, there are plenty of opportunities to make money. One of the latest trends is the use of Generative Pre-trained Transformers, or GPTs. These are advanced tools that can create content, answer questions, and even write code. As we move through 2024, there’s a place called the GPT Store that’s getting a lot of attention. It’s a spot where developers and business-minded folks can sell their GPT creations. If you’re looking to get in on this, you’ll want to know how to make the most of it.
Imagine you’ve got a knack for building applications. With GPTs, you can create programs that do specific jobs, like writing marketing copy or optimizing websites for search engines. The trick is to make something that solves a real problem for people. Once you’ve built your GPT, you need to make it stand out. Think of a catchy name and a logo that pops. But don’t stop there. You’ve got to get the word out. Use social media, work with influencers, do whatever it takes to get people to notice your product.
Making money from ChatGPT custom GPTs
Now, if you’re really good at making these GPTs, there’s another way to cash in. You can offer your skills to companies. A lot of businesses are still waking up to what GPTs can do for them. You can be the one to help them understand and use this technology. You might even set up a system where you’re on call to help them regularly. To find clients, make sure you’ve got a strong online profile and a smooth process for managing projects.
Here are some other articles you may find of interest on the subject of creating custom GPTs :
The GPT Store isn’t just a place to sell your GPTs. It’s also a marketing tool. You can offer a free GPT that shows off what you can do. This can lead people to check out your other products or services. It’s a smart way to get new customers. But having a great idea for a GPT isn’t enough. You’ve got to build it well. There are tools out there, like GPT Builder, that can help you customize your GPT and make sure it’s top-notch.
Remember, your GPT has to impress the people you want to use it. So, making money with GPTs in 2024 is about being creative, knowing your tech, and being smart with how you sell your product. You’ve got to focus on what users need and keep up with the latest trends. If you can do that, you’ll find there’s a lot of potential to earn in the AI world
Promoting and making custom GPTs
Creating and selling custom Generative Pre-trained Transformers (GPTs) through platforms like OpenAI’s GPT Store represents a cutting-edge entrepreneurial venture. To navigate this process successfully, one must combine technical skill with strategic marketing. Here’s a quick guide on how to build, sell, and promote ChatGPT custom GPTs AI models.
1. Understanding GPT and Market Needs
Grasp the Basics of GPT: GPT (Generative Pre-trained Transformer) is a type of artificial intelligence that generates human-like text based on the input it receives. It’s used for a variety of applications, including content creation, conversation bots, code generation, and more.
Identify Market Needs: Research and identify specific problems or needs within your target market that a GPT application could solve. Consider industries that could benefit from automation, such as marketing for content creation or IT for code debugging.
2. Building Your Custom GPT
Let’s dive deeper into the strategies that can help you unlock the potential of GPTs for revenue generation. First and foremost, it’s essential to understand the audience you’re targeting. Whether it’s businesses looking to streamline their operations or individuals seeking to enhance their productivity, your GPT application must cater to their specific needs. This requires a deep dive into market research and user behavior analysis. By understanding the pain points of your potential users, you can tailor your GPT solutions to offer them the most value.
Define the Application: Clearly define what your GPT application will do. This could range from generating marketing copy to providing coding assistance or even creating educational content.
Use the Right Tools: Leverage existing tools and platforms such as OpenAI’s APIs, GPT-3 or GPT-4, to build your application. These platforms provide the necessary infrastructure and documentation to develop your GPT app.
Customize and Test: Customize your GPT to cater to the specific needs you’ve identified. This involves training or fine-tuning it with relevant data. Rigorously test your application to ensure it meets quality standards and accurately serves its intended purpose.
3. Preparing for Launch
When it comes to marketing your GPT, storytelling can be a powerful tool. Share the journey of your GPT’s development, the challenges it can overcome, and the benefits it brings to users. This narrative can resonate with your audience, making your GPT more than just a tool—it becomes a solution that users can connect with emotionally.
Create a Brand: Develop a strong brand for your GPT application. This includes choosing a memorable name, designing a logo, and establishing a visual identity that resonates with your target audience.
Set Up Your GPT Store Presence: Create a compelling product page on the GPT Store. This should include a detailed description of your GPT’s features, benefits, and potential uses, along with any testimonials or case studies that can attest to its value.
Pricing Strategy: Determine your pricing strategy. You could offer a one-time purchase, subscription model, or even a freemium version that provides basic functionality for free with the option to upgrade for more features.
4. Marketing and Promotion
Networking is also crucial in the GPT marketplace. Attend industry events, participate in online forums, and engage with other developers and potential clients. Building relationships can lead to collaborations, partnerships, and opportunities to showcase your GPT to a wider audience. Furthermore, consider the pricing strategy for your GPT. It’s a delicate balance between making your product accessible and valuing your work appropriately. Competitive pricing can attract more users, but don’t undervalue your GPT. Offering tiered pricing models or subscription services can provide users with flexible options while ensuring a steady revenue stream for you.
Leverage Social Media: Use social media platforms to create buzz around your GPT application. Share valuable content that highlights the benefits of your app and engage with your audience to build interest.
Content Marketing: Produce and distribute content such as blog posts, videos, and infographics that showcase your GPT’s capabilities and real-world applications. This can help educate your potential customers and drive traffic to your GPT Store page.
Network and Collaborate: Attend industry events, webinars, and forums related to AI and your target market. Networking can lead to valuable partnerships, collaborations, and opportunities to showcase your application to a wider audience.
Offer Demonstrations: Provide live demos or free trials of your GPT application. This allows potential customers to experience its value firsthand, increasing the likelihood of purchase.
Collect and Act on Feedback: Gather feedback from early users and continuously improve your product. This not only enhances the application but also shows your commitment to customer satisfaction.
Customer support and feedback loops are vital components of a successful GPT product. Users may encounter issues or have suggestions for improvements. By providing responsive support and incorporating user feedback into your development process, you can enhance your GPT’s functionality and user experience, leading to higher satisfaction and retention rates.
5. Legal and Ethical Considerations
Lastly, keep an eye on the legal and ethical considerations surrounding GPTs. As AI technology advances, regulations and guidelines are evolving. Ensure that your GPT complies with data privacy laws and ethical standards. Being proactive in these areas can prevent potential legal issues and build trust with your users.
Privacy and Data Security: Ensure your GPT application complies with data protection laws like GDPR or CCPA. Be transparent about how you collect, use, and store data.
Ethical Use: Adhere to ethical guidelines for AI development and use. This includes avoiding biases in your GPT’s responses and ensuring it does not generate harmful or misleading content.
Intellectual Property: Respect intellectual property rights and ensure your use of data and AI technologies does not infringe on others’ copyrights or trademarks.
In essence, the journey to monetizing GPTs is multifaceted. It involves a blend of innovation, technical skill, marketing acumen, and a deep understanding of your audience. By focusing on these areas and staying adaptable to the ever-changing digital landscape, you can position yourself to reap the financial rewards that GPTs offer. Whether you’re a seasoned developer or an entrepreneur stepping into the world of AI, the GPT Store presents a unique platform to showcase your talents and grow your income.
Filed Under: Gadgets News, Guides, Top News
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Artificial intelligence has made it extremely easy to create AI generated images, photos and illustrations using services such as Midjourney, Stable Diffusion, Leonardo AI, OpenAI DallE 3 and others. However creating specific images for certain markets still requires skills and knowledge on how to prompt the AI generator correctly. If you have been developing your AI art generation prompting skills and would like to turn them into money by selling your images on Adobe Stock this quick guide will take you through the process.
As an artist or photographer, you might be intrigued by the potential of AI-generated images and their place in the stock photography market. Adobe Stock, a leading content platform, has opened its doors to this novel form of art, providing tech-savvy creators with an opportunity to sell their AI-crafted images to a global audience.
To get started on Adobe Stock, the first step is to set up a contributor account. This account will be your command center, where you can upload and manage your creations. But before you dive into uploading, it’s crucial to familiarize yourself with the platform’s submission guidelines. Adobe Stock has specific requirements to ensure that all content is original and meets their standards, so understanding these rules will help you avoid any potential issues down the line.
Selling AI generated images and photos
Creating a portfolio of AI-generated images that will sell is not just about churning out content; it’s about strategic creation. The goal is to produce high-quality images that are in demand by Adobe Stock’s vast user base. To achieve this, you can use AI tools like the Mid Journey AI image generator, which can help you create photorealistic images that resonate with current trends, popular themes, and upcoming holidays.
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When you’re crafting these images, remember that quality and relevance are your guiding principles. Once you’ve created your images, it’s time to ensure they meet Adobe Stock’s high standards. This might involve upscaling your images to enhance their resolution and overall visual appeal.
Uploading your work to Adobe Stock is a straightforward process. Each image you upload should be accompanied by detailed information, accurate categorization, and enriched with metadata. Keywords play a pivotal role in making your content discoverable to potential buyers. You might want to use a keyword generation tool to help your images stand out and be easily found by those searching for specific types of content.
Building a strong portfolio is a balancing act between quantity and quality. It’s not just about having a large number of images; it’s about curating a collection that is both high in quality and relevant to what buyers are looking for. To keep your portfolio fresh and appealing, it’s important to stay on top of market trends and seasonal demands, as these can greatly influence your sales potential.
The opportunity to sell AI-generated images on Adobe Stock is ripe with potential. By tapping into market demands, creating compelling content, and ensuring your portfolio is easily searchable, you can carve out a successful niche for yourself. Keep your creativity flowing, stay informed about the latest trends, and continuously refine your approach. With dedication and a keen eye for what sells, you can thrive in the exciting world of AI-generated stock photography. It’s also worth remembering that Adobe Stock is not the only website that allows you to sell AI generated images a quick search on Google will bring up plenty of others.
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Deploying a custom language model (LLM) can be a complex task that requires careful planning and execution. For those looking to serve a broad user base, the infrastructure you choose is critical. This guide will walk you through the process of setting up a GPU server, selecting the right API software for text generation, and ensuring that communication is managed effectively. We aim to provide a clear and concise overview that balances simplicity with the necessary technical details.
When embarking on this journey, the first thing you need to do is select a suitable GPU server. This choice is crucial as it will determine the performance and efficiency of your language model. You can either purchase or lease a server from platforms like RunPod or Vast AI, which offer a range of options. It’s important to consider factors such as GPU memory size, computational speed, and memory bandwidth. These elements will have a direct impact on how well your model performs. You must weigh the cost against the specific requirements of your LLM to find a solution that is both effective and economical.
After securing your server, the next step is to deploy API software that will operate your model and handle requests. Hugging Face and VM are two popular platforms that support text generation inference. These platforms are designed to help you manage API calls and organize the flow of messages, which is essential for maintaining a smooth operation.
How to set up a GPU servers for AI models
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Efficient communication management is another critical aspect of deploying your LLM. You should choose software that can handle function calls effectively and offers the flexibility of creating custom endpoints to meet unique customer needs. This approach will ensure that your operations run without a hitch and that your users enjoy a seamless experience.
As you delve into the options for GPU servers and API software, it’s important to consider both the initial setup costs and the potential for long-term performance benefits. Depending on your situation, you may need to employ advanced inference techniques and quantization methods. These are particularly useful when working with larger models or when your GPU resources are limited.
Quantization techniques can help you fit larger models onto smaller GPUs. Methods like on-the-fly quantization or using pre-quantized models allow you to reduce the size of your model without significantly impacting its performance. This underscores the importance of understanding the capabilities of your GPU and how to make the most of them.
For those seeking a simpler deployment process, consider using Docker images and one-click templates. These tools can greatly simplify the process of getting your custom LLM up and running.
Another key metric to keep an eye on is your server’s ability to handle multiple API calls concurrently. A well-configured server should be able to process several requests at the same time without any delay. Custom endpoints can also help you fine-tune your system’s handling of function calls, allowing you to cater to specific tasks or customer requirements.
Things to consider when setting up a GPU server for AI models
Choice of Hardware (GPU Server):
Specialized hardware like GPUs or TPUs is often used for faster performance.
Consider factors like GPU memory size, computational speed, and memory bandwidth.
Cloud providers offer scalable GPU options for running LLMs.
Cost-effective cloud servers include Lambda, CoreWeave, and Runpod.
Larger models may need to be split across multiple multi-GPU servers.
Performance Optimization:
The LLM processing should fit into the GPU VRAM.
NVIDIA GPUs offer scalable options in terms of Tensor cores and GPU VRAM.
Server Configuration:
GPU servers can be configured for various applications including LLMs and Natural Language Recognition.
Challenges with Large Models:
GPU memory capacity can be a limitation for large models.
Large models often require multiple GPUs or multi-GPU servers.
Cost Considerations:
Costs include GPU servers and management head nodes (CPU servers to coordinate all the GPU servers).
Using lower precision in models can reduce the space they take up in GPU memory.
Deployment Strategy:
Decide between cloud-based or local server deployment.
Consider scalability, cost efficiency, ease of use, and data privacy.
Cloud platforms offer scalability, cost efficiency, and ease of use but may have limitations in terms of control and privacy.
Pros and Cons of Cloud vs. Local Deployment:
Cloud Deployment:
Offers scalability, cost efficiency, ease of use, managed services, and access to pre-trained models.
May have issues with control, privacy, and vendor lock-in.
Local Deployment:
Offers more control, potentially lower costs, reduced latency, and greater privacy.
Challenges include higher upfront costs, complexity, limited scalability, availability, and access to pre-trained models.
Additional Factors to Consider:
Scalability needs: Number of users and models to run.
Data privacy and security requirements.
Budget constraints.
Technical skill level and team size.
Need for latest models and predictability of costs.
Vendor lock-in issues and network latency tolerance.
Setting up a custom LLM involves a series of strategic decisions regarding GPU servers, API management, and communication software. By focusing on these choices and considering advanced techniques and quantization options, you can create a setup that is optimized for both cost efficiency and high performance. With the right tools and a solid understanding of the technical aspects, you’ll be well-prepared to deliver your custom LLM to a diverse range of users.
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Amazon has announced a new partnership with Hyundai where it will sell cars on its platform in the USA from 2024. From next year you will be able to purchase a Hyundai vehicle from the Amazon.com website.
The partnership with Hyundai will also see the Amazon Alexa assistant built into Hyundai vehicles in the USA, you can see more details about what Amazon and Hyundai have planned below.
This new digital shopping experience will make it easy for customers to purchase a new car online, and then pick it up or have it delivered by their local dealership at a time that works best for them. Customers will be able to search on Amazon for available vehicles in their area based on a range of preferences, including model, trim, color, and features; choose their preferred car; and then check out online with their chosen payment and financing options—all within the Amazon experience they already know and trust. This new shopping experience will create another way for dealers to build awareness of their selection and offer convenience to their customers.
Starting in 2025, customers who purchase Hyundai’s next-generation vehicles will be able to access the hands-free Alexa experience they have at home, while in their car. Hyundai drivers will be able to ask Alexa to play music, podcasts, or audiobooks; set reminders; update to-do lists; and check calendars. Customers will also be able to control their smart home from the road, such as asking to warm up the house on their way home, double-checking doors are locked, and managing smart lighting and Alexa routines. Drivers will also be able to ask Alexa for up-to-date traffic updates or weather reports, and use voice-control with the in-vehicle media player or navigation system—with certain Alexa features accessible even when internet connectivity is intermittent or unavailable.
You can find out more information about this new partnership between Amazon and Hyundai over at Amazon’s website at the link below.
Source Amazon
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In preparation for the imminent launch of the new and highly anticipated OpenAI GPT Store, enabling you to sell your custom GPTs to other ChatGPT Plus and Enterprise users. This guide will take you through how to set up your GPT store in and prepare your first custom GPTs for sale. Wes Roth has also created a fantastic tutorial video takes you through the process and shows you exactly how to get ready for this huge milestone event that will take place very soon.
The rise of Generative Pretrained Transformers (GPTs) has sparked a significant shift in the field of artificial intelligence (AI). OpenAI, a leading entity in this sector, is preparing to launch the GPT Store, a innovative platform that allows you to sell custom GPT AI applications you have created using its advanced AI technology. The standout feature of this platform is its user-friendly interface that requires no coding skills, making it accessible to a wider audience, regardless of their technical background. The launch of the new GPT store is reminiscent of that of the launch of the official Apple App store back in 2008 when the first application started becoming available for its range of iOS devices.
Setup your GPT store and sell custom GPTs
The GPT Builder is more than just a platform for creating applications; it also offers a chance to monetize your applications and earn income. This is achieved through a revenue-sharing model, where the profits from the sale of applications are split between you, the creator, and the platform. This model encourages the development of high-quality applications and promotes a mutually beneficial relationship between the platform and its creators.
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Verify your business
The platform is carefully designed to highlight the work of verified creators. This verification process is crucial in maintaining the platform’s credibility and ensuring that only top-quality applications are available for purchase. The verification process involves two steps: creating a creator profile and verifying your domain. The creator profile serves as your digital identity on the platform, while domain verification confirms your ownership of a website domain. If you like to learn more about ways to make money using the new GPT Builder check out our previous article.
The GPTs available on the platform are organized based on their functionality. This classification allows users to easily find the applications that meet their needs. As a creator, it’s important to build a reputation for producing high-quality applications. Focusing on a specific niche can help you stand out and attract a loyal user base.
GTP Store Creator Profile
The GPT Store is about more than just short-term gains. It’s about creating lasting value for the end user. This means developing applications that are not only useful but also regularly updated and improved to meet the changing needs of users. This long-term vision can contribute to a sustainable business model and ensure customer satisfaction.
Preparing for the store launch involves several steps. First, you need to create a creator profile. This profile serves as your digital identity on the platform and provides potential buyers with information about you and your applications. Next, you need to build your GPTs. This involves using the platform’s no-code technology to create your applications.
Marketing your custom GPTs
Once your applications are fully developed, you can start planning how to market them. This is where digital marketing tools like Google search, YouTube, and SEO become essential. These tools can increase the visibility of your applications online, attracting a larger pool of potential buyers. Additionally, an email list can be a powerful marketing tool. By collecting email addresses, you can send updates and promotions to a dedicated audience, establishing a direct communication channel with your potential customers.
The GPT Store by OpenAI provides a unique opportunity to create and sell applications using advanced AI technology, without the need for any coding skills. By focusing on a specific niche, building a reputation for quality, and adopting a long-term approach, you can succeed on this platform. With the right preparation and marketing strategies, you can take full advantage of this opportunity and establish a successful business in the rapidly growing world of AI applications.
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