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Custom iPhone ringtone: How to create one from any MP3

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Turn A YouTube Video Into A Ringtone
Make a ringtone out of anything!
Image: D. Griffin Jones/Cult of Mac

If you don’t have your phone on silent, you may as well have a fun, custom iPhone ringtone. After all, custom Home Screens and Lock Screens are all the rage — you can create a ringtone that matches your aesthetic.

Between wearing an Apple Watch and leaving my phone muted, I almost never hear my ringtone, but needs and preferences vary. If you don’t wear an Apple Watch and you carry your phone in a bag or purse, a ringtone is the only way you’ll hear a call coming in.

It’s not super straightforward, but here’s how you can make a custom iPhone ringtone out of an MP3 using just your phone. Keep reading below or watch our video.

How to make a custom iPhone ringtone

Sure, you can always pick from one of Apple’s built-in ringtones in Settings > Sounds & Haptics > Ringtone. But if you want to create your own custom iPhone ringtone, follow these instructions:

Download YouTube video as MP3 using cobalt.tools
Download any YouTube video as an MP3 using cobalt.tools
Screenshot: D. Griffin Jones/Cult of Mac

Time needed: 10 minutes

 How to make a custom iPhone ringtone

  1. Save an MP3 file from a YouTube video

    First, the custom iPhone ringtone you want needs to be in MP3 format.
    If you can find it on YouTube, that’s great. Copy the URL, go to cobalt.tools, tap Audio, paste the link, and hit >>. Tap the Download button to save the MP3.
    Otherwise, make sure the custom ringtone you want is downloaded on your iPhone in the Files app.

  2. Download GarageBand

    To make a ringtone out of your MP3, you need to download GarageBand, Apple’s app designed to make and edit music. (Don’t worry, you don’t need to record anything. This is all part of the process.)
    It’s completely free on the App Store.Creating an new GarageBand project

  3. Create a new song

    Next, open GarageBand, swipe over to the Audio Recorder tool, and tap Voice. You don’t need to touch any of the controls — hit the third button on the left of the toolbar that looks like a stack of blocks.Creating a custom ringtone on iPhone by pasting an MP3 file into GarageBand

  4. Add your MP3

    To add the MP3 you want to use as your custom iPhone ringtone, you need to switch over to the Files app. In the Recents tab, the most recent two files should be “My Song” (or whatever you called the GarageBand project you just created) and the MP3 you downloaded earlier.
    With one finger, tap and hold on the icon for the MP3 file, then tap Copy. Switch back to GarageBand, tap on the empty timeline, then tap Paste.

  5. Trim the audio clip

    If there’s a part of the song you want to trim out — silence at the beginning, a section you don’t want at the end — it’s easy to edit that out.
    Tap the left side of the clip and drag the edge inward to cut out the beginning. It should be outlined in yellow. Then, tapping the middle of the clip, you can drag it back to start at the beginning.
    Do the same on the right edge to cut out the end. Ringtones are automatically trimmed down to 30 seconds long, so if your MP3 is longer than that, you might as well find the best stopping point yourself.
    You can pinch with two fingers to zoom in for more precision. Preview your edits with the Play button in the toolbar.

  6. Rename your file and save it as a custom iPhone ringtone

    Tap the ▼ button to the left of the toolbar and tap My Songs. Tap and hold on My Song, the one you just created, and tap Rename.
    Tap and hold on it again, and tap Share > Ringtone. Then tap Export. Tap Use sound as… to pick if you want it for your phone ringtone, text tone or for a specific contact.

You can create multiple custom iPhone ringtones to use for various people

And that’s how you create a custom ringtone on your iPhone. If you want to switch it back at any point, you can customize it in Settings > Sounds & Haptics > Ringtone.

You can repeat the directions above to create a bunch of different ringtones. The more you create, the more options that’ll appear in the list. You also can use a really short sound effect as a notification alert for incoming texts, new email, reminders and more.

You can also assign a custom ringtone to a specific contact. Open Contacts (or the Contacts tab of Phone), tap on a contact and tap Edit. Below their contact information like phone number, email and pronouns, you can set a custom ringtone and text tone for them from the ones you’ve created.

More ways to customize your phone



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Apple Reportedly Developing Its Own Custom Silicon for AI Servers

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Apple is said to be developing its own AI server processor using TSMC’s 3nm process, targeting mass production by the second half of 2025.

Apple Silicon AI Optimized Feature Siri 1
According to a post by the Weibo user known as “Phone Chip Expert,” Apple has ambitious plans to design its own artificial intelligence server processor. The user, who claims to have 25 years of experience in the integrated circuit industry, including work on Intel’s Pentium processors, suggests this processor will be manufactured using TSMC’s ‌3nm‌ node.

TSMC is a vital partner for Apple, manufacturing all of its custom silicon chips. The chipmaker’s ‌3nm‌ technology is one of the most advanced semiconductor processes available, offering significant improvements in performance and energy efficiency over the previous 5nm and 7nm nodes.

Apple’s purported move toward developing a specialist AI server processor is reflective of the company’s ongoing strategy to vertically integrate its supply chain. By designing its own server chips, Apple can tailor hardware specifically to its software needs, potentially leading to more powerful and efficient technologies.

Apple could use its own AI processors to enhance the performance of its data centers and future AI tools that rely on the cloud. While Apple is rumored to be prioritizing on-device processing for many of its upcoming AI tools, it is inevitable that some operations will have to occur in the cloud. By the time the custom processor could be integrated into operational servers in late 2025, Apple’s new AI strategy should be well underway.

The Weibo user has a number of accurate previous claims, including that the iPhone 7 would be water-resistant and that the standard iPhone 14 models would continue using the A15 Bionic chip, with the more advanced A16 chip being exclusive to the ‌iPhone 14‌ Pro models. These predictions were later corroborated by multiple credible sources and proved correct upon the products’ release.

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You’ll wish you could purchase this beautiful custom Fallout gaming PC

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There’s always been tons of merchandise to match the popularity of the Fallout series, and this lovely custom gaming PC is easily one of the best.

The chassis for the NZXT H6 Flow PC is based on the iconic Vault-Tec aesthetics of the game series, with the blue paint covered in old rust stains and the bright yellow highlights complementing it. 

The inside also features the same design as well as the series mascot Pip-Boy, which can be seen through the glass side panel. One of the main fans even has the Nuka Cola emblem on its center, another nice touch.

closeup of fallout gaming pc

(Image credit: NZXT / POPeART_)

Not only is this an incredibly well-designed desktop – from PC manufacturer NZXT and renowned hardware artist POPeART_ – but it packs some serious punch in terms of specs. It sports some of the best processors and best graphics cards with an AMD Ryzen 7 7800X3D processor, an AMD Sapphire Radeon RX 7900 GRE graphics card, 32GB RAM, and 2TB of storage. More than enough to handle the best PC games at the highest settings.



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Apple Maps May Gain Custom Routes With iOS 18

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Apple may be planning to add support for “custom routes” in Apple Maps in iOS 18, according to code reviewed by MacRumors.

apple maps 3d feature
‌Apple Maps‌ does not currently offer a way to input self-selected routes, with Maps users limited to Apple’s pre-selected options, but that may change in ‌iOS 18‌. Apple has pushed an ‌iOS 18‌ file to its maps back-end labeled “CustomRouteCreation.” While not much is revealed by the file except for the name, it does mention that this upcoming feature will be limited to the United States at launch.

Custom routes would allow users to set what specific roads they want to travel down, whether for scenic purposes or for the familiarity of a route. Route options beyond the default have been a highly requested ‌Apple Maps‌ feature for several years now, and other services like Google Maps allow users to create custom routes on a computer and then view them on an iOS device.

‌iOS 18‌ will be introduced at the Worldwide Developers Conference on Monday, June 10. For more details about the update, check out our iOS 18 roundup.

(Thanks, Nicolás!)

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Caviar’s 18-Karat Gold Custom Apple Vision Pro Won’t Start at $3,499

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Caviar, a company known for making luxury variants of popular tech gadgets, intends to release a custom Apple Vision Pro plated with 18-karat gold next year that will inevitably set you back more than Apple’s $3,499 starting price.

caviar vision pro2
The device’s headband is made from Connolly leather, and features a gold visor cover attachment inspired by “Tom Ford flip-up glasses and Gucci ski masks.”

“Judging by the public’s reaction, not everyone appreciates having their eyes displayed on the external screen. With Caviar’s version, you can preserve your privacy if you wish,” says the company.

The Apple Vision Pro CVR Edition by Caviar will be a limited edition release of 24 units, with an estimated early 2025 launch. The starting price is “available on request,” according to the website, but elsewhere the device is advertised for around $40,000.

Caviar also recently listed a custom iPhone 15 Pro that has been modified to match the look of the Vision Pro. That costs a mere $8,060 and can be pre-ordered today from the Caviar website.

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Business Industry

You can now open Google Chrome Custom Tabs in picture-in-picture mode

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Last updated: March 12th, 2024 at 09:12 UTC+01:00

Google Chrome for Android features Chrome Custom Tabs, which developers can use to offer a web browser experience in their applications. Take Gmail for example. It is one of the apps that uses this feature. When you click on a link to a website in an email, the email client opens that webpage within itself, in Chrome Custom Tabs. Well, Google has now upgraded Chrome Custom Tabs with an interesting and useful feature.

According to a new report from 9To5Google, the latest stable version of Chrome for Android (v122) lets you use Chrome Custom Tabs in the Picture-in-Picture (PiP) mode. For instance, now when you click on a link to a website in an email in Gmail and the email client loads the webpage in Chrome Custom Tabs, you can minimize that webpage into a PiP window, which will free up your phone’s screen to perform other tasks.

To use Chrome Custom Tabs in the PiP mode, all you have to do is tap the downward-facing button, which is located beside the back button at the top-left corner of the screen. The webpage will then shrink into a PiP window in the bottom-right corner of the display, showing you the logo, name, and domain of the website. You can even resize the window according to your liking or move it from the left to the right of the screen. To go back to the fullscreen mode, tap the fullscreen icon, and to close it, press the ‘x’ button.

According to the publication, Google hasn’t rolled out the feature to everyone yet, and that’s indeed true as we don’t see the option on our Galaxy S23. At the moment, there’s no information about when the company will make the new feature available to everyone. Considering Google Chrome’s feature rollout history, the new feature should become widely available in the next few weeks. So,  update the app to the latest version.

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Build custom AI agents featuring Function Calling, Code Interpreter and RAG using Qwen-Agents

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Build custom AI agents using Qwen-Agents

Alibaba’s Qwen 1.5 is an open-source AI model that ranges from 0.5 to 72 billion parameters, offering performance close to GPT-4. The Qwen-Agents framework, built on the Qwen 1.5 model, enables the development of large-scale, niche model applications that can follow instructions, utilize tools, plan, and remember. The framework includes a Chrome browser extension capable of interacting with web pages and documents, summarizing content, and automating writing tasks.

Qwen-Agents offers a variety of functionalities, including function calling, a code interpreter, and the ability to retrieve and generate content (RAG). The framework allows for the creation of applications that can upload files, engage in multi-turn conversations, and perform data analysis. Examples of applications developed with Qwen-Agents include a browser assistant, PDF Q&A, and chatbots. The framework is versatile, with a repository providing examples and guidance on how to get started, including installation instructions and the integration of custom tools and plugins. Let’s dive a little deeper.

Imagine stepping into a world where artificial intelligence (AI) is not just a tool, but a partner that understands you and helps you achieve more. Alibaba has just unveiled Qwen 1.5, a powerful AI model that is set to redefine the boundaries of what AI can do. With a range of 0.5 to 72 billion parameters, Qwen 1.5 is a formidable contender in the AI landscape, rivaling the capabilities of advanced models like GPT-4. This new AI model is not just a standalone marvel; it’s the foundation of something bigger—the Qwen-Agents framework.

The Qwen-Agents framework is a comprehensive system that allows you to build AI applications that go beyond simple command execution. It’s designed to help you create applications that can manage tools, plan ahead, and learn from previous interactions. Whether you’re a seasoned developer or just starting out, the Qwen-Agents framework gives you the power to turn your AI ideas into tangible solutions.

How to create AI agents using Qwen-Agents

One of the most exciting aspects of this new technology is the Qwen-Agents Chrome browser extension. This isn’t your average browser tool that fades into the background. Instead, it actively engages with web pages, summarizing content and even automating writing tasks. It’s like having a personal assistant that’s dedicated to streamlining your online activities, saving you time and effort.

Here are some other articles you may find of interest on the subject of artificial intelligence (AI) agents and how they can be customized for a wide variety of different applications :

But the capabilities of Qwen-Agents don’t stop there. The AI can effortlessly manage function calling, interpret code, and handle content retrieval and generation. These advanced functionalities are designed to be user-friendly, allowing you to command the AI to carry out a wide array of tasks. This could range from uploading files to having in-depth conversations, making it an invaluable tool for data analysis and other complex tasks.

The practical applications of Qwen-Agents are as varied as they are impressive. Imagine a browser assistant that not only makes surfing the internet easier but also enhances your experience. Or consider a chatbot that provides instant customer support, tailored to the specific needs of each user. These are just a few examples of how the Qwen-Agents framework can be adapted to meet real-world demands, offering innovative and effective solutions.

For developers eager to explore the possibilities of Qwen-Agents, getting started is straightforward. The framework comes with detailed instructions for installation and customization. The repository is filled with examples and guidance to help you build AI applications confidently. Whether you’re looking to improve web interactions, engage in complex dialogues, or analyze data, Qwen-Agents is ready to assist you in your AI endeavors.

Alibaba’s Qwen 1.5 and the Qwen-Agents framework represent a significant advancement in the field of AI development. With capabilities that match those of GPT-4, the potential for creating customized, intelligent applications is vast. The future of AI is open-source and accessible, inviting you to contribute your creativity and innovation.

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How to write ChatGPT custom instructions for amazing results

crafting ChatGPT custom instructions for amazing results

If you think the results you are receiving from ChatGPT could be a little more refined. It could be simply that you are not using the correct Custom Instructions. This sometimes overlooked feature added by OpenAI last year allows you to change the persona of ChatGPT allowing it to be tailored to your exact requirements depending on what you need.  For example you can tell ChatGPT to be expert on a certain subject and provide it with certain parameters that it must use to when writing results. To do this, you need to go beyond the basics and give ChatGPT custom instructions. This guide will show you how to do that, and why it’s so important for getting the best results.

ChatGPT custom instructions refer to specific guidelines or directives provided by users that tailor the model’s responses to their particular preferences or requirements. These instructions can range from stylistic preferences, such as using a certain tone or format, to content-specific directives, such as focusing on certain topics or avoiding others. The intent behind custom instructions is to enhance the interaction between the user and the model by making the model’s outputs more aligned with the user’s expectations or needs.

How to write Custom Instructions for ChatGPT

When you tell ChatGPT exactly what you’re looking for—like asking for simplicity over complexity, clarity through examples, or even sticking to a word count—you’re essentially guiding the model to tailor its responses just for you. It’s a bit like giving a chef your dietary preferences; you’re more likely to enjoy the meal if it’s cooked to your specifications.

So, when you feed these personalized instructions into ChatGPT, it doesn’t just plow ahead with a standard response. Instead, it takes a moment to adjust its approach, carefully considering your requests. It’s aiming to strike the perfect balance between following your guidelines and ensuring the information remains accurate and relevant. Think of it as the AI putting on a different hat or switching gears to make sure it’s speaking your language, all while keeping the essence of what you need to know intact.

By being clear about what you want, you’re not just throwing words into a void; you’re engaging in a dynamic back-and-forth, guiding the AI to be its most helpful self. It’s a collaborative effort, with you steering the conversation toward the outcomes that best serve your purposes.

Here are some other articles you may find of interest on the subject of OpenAI’s ChatGPT large language AI model as well as developments we can expect in the near future:

Understanding the Basics

  • Identify Your Needs: Before crafting instructions, pinpoint what you want to achieve with ChatGPT’s responses. This could range from seeking concise explanations, requiring a specific tone (e.g., professional, casual), or needing information structured in a particular format (e.g., bullet points, essay).
  • Clarity is Key: Be as clear and specific as possible in your instructions. Ambiguities can lead to misunderstandings and less than optimal outcomes. If you require a certain style or format, describe it precisely.
  • Incremental Adjustments: Start with a set of basic instructions and refine them based on the responses you receive. This iterative approach allows you to fine-tune the directives for better results.

Crafting Custom Instructions

  • Directives on Tone and Style: Specify the desired tone (formal, informal, humorous) and style (concise, detailed, example-driven) of the response. For instance, “Please explain in a concise, formal tone.”
  • Structural Preferences: If you have a preference for how information should be organized, include that in your instructions. For example, “Respond with bullet points for each key point.”
  • Content Focus and Limitations: Highlight topics to focus on or avoid. If certain aspects are more important, make that clear. For instance, “Focus on renewable energy sources, excluding nuclear power.”
  • Use Cases or Context: Providing context can help tailor responses more effectively. Mention if the information will be used for a specific purpose, like a presentation, research, or decision-making.

Adapting Instructions for Different Needs

  • Educational Content: For educational purposes, you might request, “Explain [topic] in simple terms with examples for a high school audience.”
  • Professional Writing: If seeking help with professional content, specify the industry context and any jargon to include or avoid. For example, “Write a business proposal outline for a tech startup, avoiding legal terminology.”
  • Creative Projects: For creative writing, you could direct, “Write a short story in the first-person perspective about space exploration.”
  • Technical Explanations: When needing technical explanations, specify the level of detail and background knowledge. For instance, “Explain quantum computing principles for someone with a basic understanding of physics.”

Monitoring and Adjusting Instructions

  • Feedback Loop: After receiving a response, evaluate its alignment with your needs. If adjustments are needed, refine your instructions based on what could improve the response.
  • Experimentation: Don’t hesitate to experiment with different phrasings or levels of detail in your instructions. This can uncover more effective ways to communicate your needs.
  • Balance Specificity with Flexibility: While specific instructions can yield more tailored responses, too many constraints might limit the model’s ability to provide comprehensive answers. Find a balance that suits your requirements.

Using custom instructions with DallE 3 for images

if you are interested in learning how to improve your images created using the OpenAI DallE 3 AI image generator now integrated into ChatGPT you might be interested in our previous guide that offers more insight into using and writing custom instructions with DallE 3.

Effectively using ChatGPT custom instructions involves a clear understanding of your goals, precise communication of your needs, and a willingness to adjust directives based on outcomes.  Even as AI technology gets better and better, custom instructions are still crucial. They bridge the gap between generic AI responses and the kind of sophisticated, context-aware answers that are really useful in real life. The idea that AI will one day be so advanced that we won’t need custom instructions anymore doesn’t take into account the special role these instructions play.

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How to build ChatGPT custom GPT AI models

How to build ChatGPT custom GPT AI models

If like me your using custom GPTs to help with your daily workload you might be interested in learning more about how to integrate external APIs  to expand the functionality of your OpenAI GPT. Imagine having the power to create an intelligent digital assistant that can converse, perform tasks, and even embody your personal style or brand.

This is now possible thanks to the recent launch of custom GPTs by OpenAI. The advanced technology of Generative Pre-trained Transformers, commonly known as GPT has made it simpler for individuals to make their own AI assistants without needing to write a single line of code. This guide will walk you through the process of building a GPT model tailored to your needs, whether you’re looking to create a virtual tutor, a fitness coach, or any other type of AI assistant.

To start your project, you’ll need to visit OpenAI’s GPT Builder by signing up for a ChatGPT Plus,  Teams Or Enterprise account. The ChatGPT GPT  construction area is divided into two main sections: ‘Create’ and ‘Configure.’ In the ‘Create’ section, you’ll define the purpose of your GPT. The possibilities are endless, and the choice is yours. Once you’ve decided on the role your GPT will play, you’ll move on to the ‘configure’ section. Here, you’ll adjust the features and behaviors of your GPT to align with your vision.

Customizing your GPT is made easy with an intuitive conversational interface. It’s like teaching a new colleague how to perform their job. You’ll specify the functions you want your GPT to have and how it should interact with users. During this stage, you can also give your GPT a name, write a description, and provide user instructions that reflect your identity or your brand’s image.

Building Custom GPTs with ChatGPT

A unique visual identity is important for any product, and your GPT is no exception. You have the option to create and upload a custom logo, which will help users recognize and remember your GPT. This visual touch can make your GPT stand out and be associated with your unique style. For your GPT to be effective, it needs to be knowledgeable. You can upload reference materials that are relevant to its purpose. These materials could be anything from technical documents to works of fiction, depending on what you want your GPT to do.

Here are some other articles you may find of interest on the subject of constructing custom GPT AI models for a wide variety of different applications and using a number of different methods.

User engagement is key to the success of your GPT. To keep users coming back, set a friendly tone and include prompts that make interactions feel more natural. This will encourage users to engage with your GPT regularly.

To give your GPT even more functionality, consider integrating external APIs. This will allow your GPT to do things like search the web, create images, or understand code. These capabilities can make your GPT more versatile and useful than standard models. User privacy should be a top priority. Before you launch your GPT, test it thoroughly and adjust the settings to protect user data. Building trust with your users is essential.

How to build custom GPTs

1: Plan Your Custom GPT

Conceptualization is crucial as it lays the foundation for your GPT. Start by identifying a gap in the current market or a specific need within a community or industry. Consider the following:

  • Market Research: Conduct thorough market research to understand existing solutions and identify what they lack. This could involve analyzing competitor products, reading user reviews, or engaging with potential users on forums and social media.
  • Unique Value Proposition (UVP): Define what makes your GPT different. This could be a unique dataset, a novel application of AI, or a specific problem-solving approach that’s not currently available.
  • User Personas: Create detailed user personas representing your target audience. What are their goals, challenges, and preferences? How does your GPT solve their problems or enhance their lives?
  • Feasibility Study: Assess the technical feasibility of your idea. Do you have access to the necessary data? Can the current GPT technology support your concept effectively?

2: Access the GPT Builder

The GPT Builder is your workspace for bringing the concept to life. Familiarize yourself with its interface and capabilities:

  • Tutorial and Documentation: Spend some time going through any available tutorials or documentation to understand the full capabilities of the GPT Builder.
  • Prototyping: Use the “Create” section for rapid prototyping. This allows you to experiment with different ideas and get immediate feedback on how your GPT might function.
  • Feedback Loop: Leverage the conversational interface to refine your idea. The immediate feedback can help you iterate quickly and refine your concept before moving on to detailed configuration.

3: Define the GPT’s Function and Audience

Clarity on function and audience is essential for designing interactions and content:

  • Use Cases: Detail specific use cases of how your GPT will be used. This helps in designing the flow of interaction and ensuring that the GPT meets user needs effectively.
  • Audience Engagement: Think about how you will engage your target audience. What platforms do they use? How can you make your GPT accessible and appealing to them?
  • Accessibility and Inclusivity: Consider how to make your GPT accessible to a wider audience, including those with disabilities. This could involve voice commands, screen reader compatibility, and multilingual support.

4: Customization and Branding

Customization and branding are key to standing out:

  • Brand Personality: Your GPT’s name, description, and logo should reflect its personality and how you want users to perceive it. Is it professional, friendly, quirky, or inspirational? The branding should align with this.
  • Visual Identity: Consider color schemes, typography, and imagery that align with your brand. These elements should be consistent across all user touchpoints, from the GPT interface to marketing materials.
  • Trademark Checks: Ensure that your GPT’s name and logo are unique and do not infringe on existing trademarks. This is crucial for legal protection and brand identity.

5: Upload Reference Material

The quality and relevance of your reference material directly impact the GPT’s effectiveness:

  • Curated Content: Ensure the documents or links you use as references are high-quality, relevant, and up-to-date. This might involve curating content from reputable sources or creating custom content that perfectly fits your GPT’s purpose.
  • Diverse Sources: To avoid biases and enhance the comprehensiveness of your GPT, include a diverse range of sources. This could mean using materials from different cultures, perspectives, and areas of expertise.
  • User Privacy and Data Security: When users interact with your GPT, especially in areas requiring personal data (like fitness advice), ensure you have measures in place to protect their privacy and secure their data.

6: Define Interaction Styles

The interaction style of your GPT significantly impacts user engagement and satisfaction. Consider the following:

  • Tone and Language: The tone should match your target audience and the purpose of your GPT. For a fitness GPT, a motivational and encouraging tone could be effective. For a professional tool, a straightforward and informative tone may be more appropriate.
  • Personalization: Implementing personalized responses based on user input or preferences can enhance the user experience. This could involve remembering user names or previous interactions to create a more conversational and engaging experience.
  • Cultural Sensitivity: Be mindful of cultural differences and ensure your GPT’s interactions are inclusive and respectful to all users. This may involve localizing content for different regions or avoiding language that could be culturally sensitive.

 7: Advanced Features and Custom Actions

Leveraging advanced features and custom actions can extend the capabilities of your GPT, making it more powerful and versatile:

  • Web Browsing: Enabling web browsing allows your GPT to pull in current information from the web, enriching its responses. However, consider the reliability of sources and potential privacy implications.
  • Image Generation: For GPTs related to creative tasks, enabling image generation can provide users with visual content, enhancing interaction. Ensure generated images are appropriate and respect copyright laws.
  • Custom Plugins and APIs: Integrating external APIs can extend the functionality of your GPT, allowing it to perform actions like booking appointments, sending notifications, or accessing specialized databases. Ensure secure and efficient use of APIs to maintain performance and user trust.

8: Testing and Refinement

Thorough testing is critical to ensure your GPT functions as intended and delivers a high-quality user experience:

  • Functional Testing: Verify all features work correctly across different devices and platforms. This includes testing custom actions, response accuracy, and performance under various conditions.
  • User Feedback: Conduct user testing sessions to gather feedback on usability, engagement, and usefulness. Real-user insights can highlight issues you might not have considered and suggest improvements.
  • Iterative Refinement: Use feedback and testing results to make iterative improvements. This might involve refining responses, tweaking the UI, or adding new functionalities based on user demand.

9: Deployment

Choosing the right deployment strategy can affect the reach and success of your GPT:

  • Privacy Settings: Decide whether your GPT will be public, link-shared, or private. Consider your audience and the purpose of your GPT when making this decision.
  • GPT Store: Publishing on the GPT Store can provide visibility and monetization opportunities. Ensure your listing clearly communicates the value and functionality of your GPT to attract users.
  • Marketing: Develop a marketing plan to promote your GPT. This could include social media marketing, content marketing, or partnerships with influencers in your target market.

10: Ongoing Improvement and Support

Continuous improvement and active support are key to maintaining and growing your GPT’s user base:

  • User Support: Provide clear channels for user support and feedback. This could be through a dedicated support email, a feedback form, or social media engagement.
  • Updates and Enhancements: Regularly update your GPT to improve performance, add new features, and address user feedback. Communicate these updates to your users to keep them engaged.
  • Monitoring Usage: Use analytics to monitor how users interact with your GPT. This data can inform decisions about future improvements and identify new opportunities for engagement.

By meticulously addressing each of these expanded steps, you can create a custom GPT that not only fulfills a unique niche but also offers a meaningful and engaging experience to its users. When you’re happy with your GPT, it’s time to share it with the world. You can save, share, and publish your GPT on the GPT store. This is a crucial step that will introduce your GPT to a global audience, where it can provide help, entertainment, or education.

Creating a custom GPT is now within reach for many, thanks to the no-code platform and the variety of customization options available. You can create a GPT that not only serves a specific function but also represents your unique vision. Whether you’re using it for work or for personal projects, your custom GPT is just a few steps away.

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OpenAI replacing ChatGPT plugins with custom GPTs

OpenAI replacing ChatGPT plugins with custom GPTs

OpenAI, a leader in artificial intelligence, and the development team responsible for creating ChatGPT and more recently SORA is making a significant change to its conversational AI platform. The company has announced that it will be moving away from the current system of ChatGPT plugins and introducing custom GPT models instead. This change is set to take place on March 19, 2024, and it’s a move that’s expected to enhance the interactive experience for users. So don’t worry about losing your favorite plugin as it will most probably be replaced with a custom GPT from the same development team.

The new direction will be led by the launch of the GPT Store, a marketplace that will offer a variety of GPT models. These models are designed to meet the specific needs of different users. The store will feature an easy-to-use search function to help users find the right GPT model to replace the plugins they are currently using.

Custom GPTs

The custom GPT models that will be available in the GPT Store are being developed to be just as capable as the plugins they are replacing. OpenAI has been listening to the feedback from its user community and incorporating it into the development of these models. The company’s move to custom GPT models is a reflection of the success and widespread adoption of GPT technology, as well as the influence that users have on the platform’s development.

As part of this transition, the plugin store will no longer accept new conversations or installations after the announced date. However, OpenAI is encouraging its users to start exploring the GPT Store and get familiar with the custom GPT models that will soon be available. It’s important for users to note that any ongoing conversations with the current plugins will continue to work until April 9, 2024. After that date, these conversations will be gradually phased out.

Removal of Plugins from ChatGPT

OpenAI’s decision to shift from ChatGPT plugins to custom GPT models is a reflection of the company’s responsiveness to user needs and the evolving landscape of conversational AI technology. The introduction of the GPT Store is a strategic move that aims to make the transition as smooth as possible for users. It represents an opportunity for users to continue engaging with a sophisticated conversational AI platform, but with an even more personalized and improved experience.

The move to custom GPT models is part of OpenAI’s broader strategy to stay at the cutting edge of AI technology. By offering a marketplace with a diverse range of models, OpenAI is ensuring that users have access to the most advanced tools to meet their conversational AI needs. The GPT Store will serve as a one-stop-shop for users to find models that are tailored to their specific requirements, whether they are looking for something to handle customer service inquiries, assist with language translation, or provide engaging content creation.

The transition to custom GPT models is also indicative of the growing trend in AI towards personalization and specialization. As AI technology becomes more sophisticated, there is an increasing demand for models that can handle specific tasks with a high level of expertise. OpenAI’s move to offer custom GPT models is a response to this demand, providing users with the ability to choose models that are optimized for the tasks they need to accomplish.

Understanding the Shift to Custom GPT Models

For users who have come to rely on the ChatGPT plugins, the transition to custom GPT models may seem daunting. However, OpenAI has assured users that the process will be straightforward. The GPT Store will not only offer a wide selection of models but will also provide guidance and support to help users make the switch. OpenAI’s goal is to ensure that users can continue to rely on its platform for high-quality conversational AI interactions without any disruption to their workflows.

As the date for the transition approaches, OpenAI is working diligently to prepare the GPT Store and the custom GPT models for launch. The company is also engaging with its user community to gather feedback and make any necessary adjustments to ensure that the new models meet user expectations. OpenAI’s focus is on delivering an AI platform that is not only powerful and versatile but also user-friendly and accessible.

The shift from ChatGPT plugins to custom GPT models is a bold step for OpenAI, but it is one that is grounded in a deep understanding of the needs of its users and the potential of AI technology. As the company continues to innovate and push the boundaries of what is possible with conversational AI, users can look forward to a future where their interactions with AI are more personalized, efficient, and effective than ever before.

The Role of the GPT Store in AI Accessibility

OpenAI’s move to custom GPT models marks a significant evolution in the field of artificial intelligence. This transition is designed to enhance the interactive experience for users by providing them with AI models tailored to their specific needs. The custom models are expected to offer the same, if not greater, capabilities as the existing ChatGPT plugins. By focusing on the development of these specialized models, OpenAI is addressing the growing demand for personalized AI solutions that can perform tasks with greater precision and relevance to the user’s requirements.

The introduction of the GPT Store is a strategic initiative by OpenAI to facilitate the adoption of custom GPT models. This marketplace will serve as a hub where users can easily search for and access a diverse range of GPT models. The store aims to simplify the process of finding the right AI model for each user, whether they need assistance with customer service, content creation, or any other specialized task. By providing a one-stop-shop for these advanced tools, OpenAI is ensuring that users have the resources they need to meet their conversational AI needs effectively.

The trend towards personalization and specialization in AI is becoming increasingly prominent as technology advances. Users are seeking AI models that can handle specific tasks with a high degree of expertise. OpenAI’s initiative to offer custom GPT models is a direct response to this trend, allowing users to select models that are finely tuned for the tasks they wish to accomplish. This approach not only enhances the user experience but also pushes the boundaries of what conversational AI can achieve, paving the way for more sophisticated and nuanced AI interactions.

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