Tag: Googles

Want ‘AirTags for Android’? Google’s new Find My Device network will deliver them soon

Post author By lisa nichols
Post date April 4, 2024
No Comments on Want ‘AirTags for Android’? Google’s new Find My Device network will deliver them soon

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Google‘s new Android Find My Device network has started slowly rolling out, according to some users – and that finally opens up the possibility of some Apple AirTags rivals landing on the platform for tracking your lost belongings.

As spotted by Android tipster @Assembledebug on X (formerly Twitter), Google has seemingly started rolling out its new Find My Device network on some devices in the latest Google Play Service beta (version 24.12.14, below).

So far, this rollout appears to be very limited and also isn’t a full release of the feature, which Google announced way back at Google IO 2023. While a new settings page for the Find My Device network has appeared for these early users, they don’t yet have the option of opting into the service.

Two Android phones on an orange background showing the Android Find My Device settings screen — (Image credit: @AssembleDebug)

But this is still a significant moment for anyone who’s been patiently waiting for AIrTags equivalents to arrive on Android. Like its Apple rival, Google’s new Find My Device network will anonymously leverage millions of Android devices around the world (assuming they’ve opted in) to help you track down offline devices and accessories.

Like on recent iPhones, this offline tracking works by keeping your phone’s Bluetooth beacon signal active even when the handset is shut down. But the offline tracking feature may not work on every Android device – earlier rumors have suggested that the full Find My Device network will start by rolling out on the Google Pixel 9 (and possibly the Pixel 8) with Android 15.

The reason for the delayed rollout is apparently because Google has been waiting for Apple to finalize its specifications for cross-platform tracking. According to a new iOS 17.5 beta that adds unknown tracker alerts to Apple’s own Find My network, that seems to have happened. This follows a joint announcement from Google and Apple back in May 2023 that stated they would team up to tackle the issue of AirTag stalking.

So, what happens next? This slow rollout will likely continue until Google IO 2024 on May 14, when we can expect to hear more about Android’s promising tracking network – and hopefully, some new third-party trackers from Tile and Chipolo.

How will it work?

Two Android phones on an orange background showing the Android Find My Device network

(Image credit: Google)

Your Android phone already has a limited Find My Device service, which lets you find your phone if it’s nearby and connected to the internet. Google’s new network promises to be a massive upgrade by anonymously leveraging millions of Android phones to help track down your lost devices – much like Apple’s Find My network.

Apple calls this its “crowdsourced network of hundreds of millions of Apple devices”, but Android’s network could potentially be even bigger. It’ll also benefit from the cross-platform alerts that Google and Apple announced to “combat the misuse of Bluetooth location-tracking devices”.

The question is when we’ll see Google AirTags, or at least Google’s first-party equivalent of the trackers that can be attached to your belongings. Given this apparent rollout of the Find My Device network, our money is on some news at Google IO 2024, as we’ve previously heard rumors about a Google tracking device codenamed ‘Grogu’.

Given that makers of third-party brands like Tile, Chipolo and Pebblebee are all supporting the industry standard partnership between Apple and Google on Bluetooth trackers, we may see some Android-flavored versions of their tracking devices at the same time, too.

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Tags AirTags, Android, deliver, Device, Find, Googles, Network

Business Industry

Samsung Galaxy SmartTag should bring Google’s Find My Device integration

Post author By miranda cosgrove
Post date April 3, 2024
No Comments on Samsung Galaxy SmartTag should bring Google’s Find My Device integration

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The Galaxy SmartTag 2 is one of the best object location trackers around in terms of hardware and technology. It is compact, has a built-in key attachment ring, features UWB for ultra-precision finding, and lasts up to 500 days on a single charge. However, an object tracker is only as good as its network, and that’s where Samsung needs to improve.

Time is ripe for Samsung to bring integration with Google’s Find My Device network

Galaxy SmartTags are currently limited to the Samsung Find network, which means it is missing out on a vast network of non-Samsung Android phones. Moreover, SmartTags aren’t even compatible with non-Samsung Android phones, making them unusable for a lot of people.

Samsung sells anywhere between 200 million and 300 million smartphones annually, and some reports indicate there are around 1.03 billion active Galaxy smartphone users. So, Galaxy SmartTags can take the help of the 1 billion strong smartphone network to find lost objects using Galaxy SmartTags.

In comparison, there are over 3 billion active Android smartphone users worldwide. That is 3x larger than the entire Galaxy smartphone user base. And this is why I think Samsung should integrate its Samsung Find network with Google’s upcoming Find My Device network. And this is not something that’s unheard of. Google and Samsung have collaborated on several projects, including Google Home-SmartThings integration and the recent Nearby Share-Quick Share merger.

It is being reported that Google could launch its Google Find My Device network after Apple releases the iOS 17.5 update in the coming months. iOS 17.5 features unknown location tracking alerts for non-AirTag object trackers. Samsung is already backing the unknown location tracking alerts standard, but it needs to go further.

If Google and Samsung collaborate for Find My Device and Samsung Find integration, the Galaxy SmartTag lineup could be a smash hit and a standard option for object location trackers for Android users who want to track their belongings. Samsung should also consider opening up Galaxy SmartTags for non-Galaxy Android smartphone users, even if it keeps some SmartThings features exclusive to Galaxy phones.

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Tags bring, Device, Find, Galaxy, Googles, integration, Samsung, SmartTag

Entertainment

Google’s Circle to Search feature will soon handle language translation

Post author By lisa nichols
Post date March 27, 2024
No Comments on Google’s Circle to Search feature will soon handle language translation

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Google just announced that it’s expanding its tool to , as part of an update to various core services. Circle to Search, as the name suggests, already lets some Android users research stuff by around an object.

The forthcoming language translation component won’t even require a drawn circle. Google says people will just have to long press the home button or the navigation bar and look for the translate icon. It’ll do the rest. The company showed the tech quickly translating an entire menu with one long press. Google Translate can already do this, though in a slightly different way, but this update means users won’t have to pop out of one app and into another just to check on something.

The translation tool begins rolling out in the “coming weeks”, though only to . This list currently includes Pixel 7 devices, Pixel 8 devices and the Samsung Galaxy S24 series, though Google says it’s coming to more phones and tablets this week, including some foldables.

Google Maps , with an emphasis on AI. When you pull up a place on Maps, like a restaurant, artificial intelligence will display a summary that describes unique points of interest and “what people love” about the business. The AI will also analyze photos of food and identify what the dish is called, in addition to the cost and whether it’s vegetarian or vegan. The company hopes this will make it easier to make reservations and book trips.

A smartphone showing a new trending list. — Google

On the non-AI side of things, Maps is getting an updated lists feature in select cities throughout the US and Canada. This will aggregate lists of must-visit destinations pulled from members of the community and local publishers. There will be tools to customize these lists as you see fit.

These will be joined by lists created by Google and its algorithm, including a weekly trending list to discover the “latest hot spots” and something called Gems that chronicles under-the-radar spots. All of these Maps updates are coming to both Android and iOS devices later this month.

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Tags Circle, feature, Googles, handle, language, search, Translation

Featured

Google’s presentation software has a new Gemini AI powered feature that is basically magic

Post author By lisa nichols
Post date March 12, 2024
No Comments on Google’s presentation software has a new Gemini AI powered feature that is basically magic

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Google may have just shown off the power of its Gemini AI platform in an intriguing way that could save slideshow fans hours of stress.

The company has revealed it will be utilizing its flagship AI offering within Google Slides to help users with formatting in a very particular way that might seem like magic to some of us older users.

Namely, Google Slides users will now be able to remove the background from images added to a presentation with just a click.

Google Slides image backgrounds

Now this might not sound particularly impressive, but for those of us raised making presentations or slides in ClipArt or similar, who know the pain of image formatting and ruining a Microsoft Word or PowerPoint file simply by daring to move an image *slightly*, Google’s update is frankly brilliant.

In order to use the tool, users simply have to select an image on your slide > right-click and select “Remove background” or select the “Remove background” button in the toolbar.

Google Slides background remove Gemini AI

(Image credit: Google Workspace)

The feature won’t be available to all users, at least for now, with Google limiting it to Slides users with either of the Gemini Enterprise and Gemini Business add-ons, and to users on personal accounts through Google One AI Premium.

Covering the majority of the company’s artificial intelligence tricks and treats, Google One AI Premium is available to buy now and will cost you $19.99 / £18.99 / AU$32.99 a month, and includes 2TB of storage to use across your Google services: Gmail, Google Drive, and Google Photos, as well as access to Gemini Advanced, listed as the “most capable” version, including support for longer and more complicated queries.

The news is the latest upgrade for Google Slides users, coming shortly after the company revealed new recording functionalities that will allow presenters to record a small bubble of themselves talking overlaid over their slides.

Google’s new bulk sender guidelines spell trouble for B2B

Post author By lisa nichols
Post date March 11, 2024
No Comments on Google’s new bulk sender guidelines spell trouble for B2B

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Back in October, Google and Yahoo unveiled a pivotal update to their bulk sender guidelines.

Launching February 1, these new regulations, which impact both bulk emailers (those sending over 5,000 emails daily to Gmail accounts) and general Gmail users alike, introduced authentication requirements and defined thresholds for spam complaints. Specifically, they defined a spam complaint threshold of 0.3%.

Our preliminary analysis of the announcement was that this 0.3% threshold wouldn’t be a major problem for most email marketers. In fact, for large companies with established customer bases and large inbound lists, this update would probably help those companies. They likely have low existing complaint rates and can more easily and safely expand their outbound efforts.

However, the smaller, less established companies, specifically, those in the B2B space that may be using more aggressive outbound email marketing strategies or have been leaning on ABM to establish their brand, would likely be in trouble.

And it turned out that we were right.

Larry Kim

Spam complaint rates across the B2B space

To better understand how these new sender guidelines would impact outbound marketing and sales, particularly in the B2B space, we studied spam complaint rates across various industries.

Our findings showed that complaint rates were well beyond the 0.3% threshold laid out by Google and Yahoo. In fact, it wasn’t even close! The average spam complaint rate across the B2B space was 2.01%, with a range between 1.1% and 3.1%.

Even worse, for the top 9 spammiest verticals, we couldn’t find a single sender that was able to score below the 0.3% threshold. When you break it down by industry, it becomes ever more clear who the top offenders are:

B2B Software: Spam complaint rates peak at 3.2%, with a range of 1.3% to 4.3%.
Political Issue & Electioneering Communications: Rates hover around 2.9%, ranging from 1.5% to 3.4%.
Sales and Marketing Services: Experience a 2.8% rate, with a broad spectrum from 2.0% to 5.3%.
Recruiting: Faces a 2.1% rate, ranging between 1.7% and 3.1%.
Retail and E-Commerce: Encounter a 2.3% rate, with variations from 0.5% to 2.9%.
Real Estate: Deals with a 1.9% rate, spanning 1.5% to 3.4%.
Education and Training Providers: Show a 1.7% rate, within a range of 0.4% to 2.1%.
Financial Services: Encounter a lower rate of 1.1%, ranging from 0.7% to 1.9%.
Healthcare and Pharmaceuticals: Have the lowest rate at 0.9%, with a range of 0.7% to 1.4%.

This data isn’t entirely surprising when you think about it. B2B software companies and sales and marketing companies tend to do a lot of outbound. Healthcare and Pharmaceuticals on the other hand are beholden to pretty strict laws and regulations around communication.

B2B sales & marketing teams must adjust quickly

This data signals a critical issue for B2B outbound marketing. For businesses that rely heavily on outbound emails for lead generation and sales, this is a significant hurdle. Meeting the new sub-0.3% threshold appears daunting, if not impossible. The good news is there are strategies to mitigate these hurdles:

Boost transactional email volume: If we want to reduce the spam complaint rate %, we may want to increase total emails sent and optimize email volume. Increase the volume of non-spammy, transactional emails such as order confirmations, tracking updates, or purchase follow-ups. These are less likely to be flagged as spam and can balance out your overall email metrics.

Prioritize warm leads: Focus your emails on high-intent users (think those who visited your pricing page or added something to their cart). Tools for website visitor identification can be invaluable here.

Provide clear & numerous unsubscribe options: The unsubscribe option should be easily accessible and in multiple places. Hidden or hard-to-find unsubscribe links increase the likelihood of being marked as spam.

Utilize intent-based email lists: In some instances, there is no getting around cold emails. What you can do however is use intent-based email lists that can help you create more appropriate messaging that will resonate with prospects. The more you know about what your audience is interested in, the more personalized messaging you can create.

For B2B companies, adapting to these new guidelines is crucial. While outbound isn’t gone, it is more challenging. The good news for users is that this new complaint rate threshold should improve the email marketing and outbound space as a whole.

These new guidelines will force B2B marketers to evolve their outbound strategies and build better campaigns. For users this means less spam and more relevant emails. For marketing and sales teams, this should mean better targeting, more personalization, and less laziness.

The result? Improved sales to lead time. At the end of the day, large email providers like Google and Yahoo are focused on creating a better user experience and this means less spam. For B2B teams, the answer is simple…don’t be a spammer.

We’ve listed the best sales management software.

This article was produced as part of TechRadarPro’s Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

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Tags B2B, Bulk, Googles, guidelines, sender, spell, trouble

News

Google’s YouTube TV hits 8 million paid subscribers

Post author By miranda cosgrove
Post date February 7, 2024
No Comments on Google’s YouTube TV hits 8 million paid subscribers

YouTube TV

Google has announced some new plans for its YouTube platform for 2024 and it also revealed some details about YouTube TV, the paid subscription service has now hit 8 million users, and this service is only available in the USA to date.

We’re bringing everything viewers love about YouTube to the living room experience. And that includes sports. We just wrapped our first season of NFL Sunday Ticket, and it really shows the future of YouTube. We’re bringing all of the content people want to see, like commentary from creators such as Deestroying and the Kelce brothers’ New Heights podcast.

We’re also seeing growing consumer interest in our subscription services. We’re excited to announce that we have more than 8 million subscribers to YouTube TV. And we passed 100 million Music and Premium subscribers, including trials. Music subscriptions help us deliver on our goal to be the best place for artists to connect with fans, from insider access to Coachella to Shorts challenges with NewJeans, Dua Lipa, Tate McRae, and more.

This year, we’ll continue to deliver a best-in-class experience for subscriptions and YouTube in the living room.

YouTube TV costs $72.99 a month in the USA and it is the largest internet streaming TV subscription service in the USA, you can find out more information about it over at Google’s website at the link below.

Source Google, Variety

Filed Under: Technology News

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Tags Googles, hits, Million, Paid, subscribers, YouTube

News

How to use Google’s AI Gemini Pro with Python

Post author By miranda cosgrove
Post date January 9, 2024
No Comments on How to use Google’s AI Gemini Pro with Python

How to use Google Gemini Pro AI with Python

Google has recently introduced it’s advanced tool, Google Gemini Pro, making an API available to developers and adding another AI to the mix to transform the way we generate text, images and more. This powerful content generation model can be harnessed using Python, a popular programming language known for its versatility and ease of use. If you’re looking to streamline your content creation process, understanding how to integrate Google Gemini Pro with Python could be a significant asset. Integrate Gemini Pro into your app using the newly available API.

Google Gemini Pro is not just another content tool; it’s a sophisticated model designed to assist in producing text-based content. To begin using it, you’ll need to install the Python Software Development Kit (SDK). This SDK is essential for Python integration and acts as a bridge between your scripts and the Gemini Pro model. Once installed, you’ll need to obtain an API key. Think of this key as a unique password that grants you access to the model, allowing you to customize its settings to fit your content creation needs.

Using Gemini Pro with Python

After setting up your development environment with the SDK and securing your API key, you’re ready to dive into the world of content generation. Python scripts become your tool of choice, enabling you to command the model to produce content according to your specifications. Google offers a variety of models, including Gemini Pro for text prompts and Gemini Pro Vision for image prompts, each designed to cater to different aspects of content creation.

Here are some other articles you may find of interest on the subject of coding with artificial intelligence :

When you start incorporating the Gemini Pro model into your Python scripts, you’ll see how it responds to text prompts. The key is to craft prompts that are clear and relevant to the content you want to generate. The model can provide multiple responses, giving you a range of options to choose from for your content. This flexibility is one of the strengths of Gemini Pro, as it allows for a diverse set of outputs that can be tailored to your project’s requirements.

But Gemini Pro isn’t limited to just text. With Gemini Pro Vision, you can extend your creative capabilities to include image-based prompts. This means you can now create content that seamlessly integrates both text and visuals, expanding the possibilities for your projects. Whether you’re working on a blog post, a marketing campaign, or any other creative endeavor, the ability to combine text and images can enhance the impact of your content.

One of the most engaging features of Gemini Pro is the ability to have interactive chat conversations with the model. This dynamic exchange feels like talking to a smart assistant that provides immediate feedback. The chat history feature is particularly useful, as it allows you to keep track of the conversation and build upon previous interactions.

Customization is at the heart of Gemini Pro. You can adjust various parameters of the model to fine-tune its behavior. These settings include the candidate count, stop sequence, max output tokens, and temperature. By tweaking these parameters, you gain control over the model’s output, ensuring that the content generated aligns with your vision and goals.

By following this guide, you’re now prepared to use Google Gemini Pro with Python for your content generation needs. Whether you’re focused on creating compelling text, engaging in interactive chats, or combining text with images, Gemini Pro offers a comprehensive set of tools to boost your creative output. As you embark on this journey, remember that the power of content creation is now at your fingertips, ready to be unleashed with the help of Google Gemini Pro and Python.

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Tags Gemini, Googles, Pro, Python

News

Google’s New Gemini AI Language Model Is Impressive (Video)

Post author By miranda cosgrove
Post date December 8, 2023
No Comments on Google’s New Gemini AI Language Model Is Impressive (Video)

Google Gemini

Google Gemini is Google’s latest AI language model, it will be available in three different models, Gemini Ultra which is coming next year, Gemini Pro which will be available in Bard and Gemini Nano which is coming to devices like the Google Pixel Pro.

Now Google has released a video of its new Language Model in action and we get to see how it performs. The video below shows someone interacting with Gemini, let’s find out how it performs and what it can do.

As we can see from the video Gemini is very impressive in the various visual interactions, it can determine exactly what the person is doing and what objects it is being shown, it is also able to make choices based on the objects and drawings, etc that it has been shown.

Google is building Gemini Pro into Google Bard and this is happening at the moment, it will also bring its Gemini Nano model to its mobile devices starting with the Google Pixel 8 Pro smartphone.

The top model which is the new Gemini Ultra will be launching in early 2024, it is not clear as yet whether Google will make this free like with the other version or whether Ultra will be a paid model like OpenAI’s ChatGPT-4, we are looking forward to finding out exactly what they have planned for their new AI models. You can find out more details over at Google’s website at the link below.

Source Google

Image Credit: Google/YouTube

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Tags Gemini, Googles, impressive, language, model, video

News

What is Google Gemini? Google’s New AI Model Explained

Post author By miranda cosgrove
Post date December 7, 2023
No Comments on What is Google Gemini? Google’s New AI Model Explained

Google Gemini

In the ever-evolving field of artificial intelligence (AI), Google has been a prominent figure, leading the way with innovative breakthroughs that have continually redefined the technological landscape. The company’s commitment to advancing AI is evident through its series of notable language models, including the highly influential BERT and LaMDA. Building on this legacy, Google AI has recently introduced its most advanced and sophisticated AI model to date, named Gemini.

Gemini stands as a significant achievement in AI development, showcasing significant enhancements over its predecessors. This new model excels in various aspects such as performance efficiency, adaptability across diverse applications, and the incorporation of robust safety protocols. The creation of Gemini is a testament to Google’s relentless pursuit of excellence in AI, fueled by substantial investments in research and development. Moreover, Google’s proficiency in crafting state-of-the-art AI architectures has played a crucial role in bringing Gemini to fruition, marking a new era in AI’s potential and applications.

Core Features of Gemini

Gemini stands out for its remarkable ability to grasp nuanced concepts and perform a wide range of tasks, including:

Natural Language Processing (NLP): Gemini excels at understanding and generating human language, enabling it to translate languages, summarize texts, write different kinds of creative content, and answer questions in an informative way.
Visual Understanding: Gemini can process and interpret visual information, allowing it to describe images, generate creative images, and answer questions about visual content.
Code Generation: Gemini can translate natural language into code, facilitating the development of software applications.

Powering Gemini with Google AI Hypercomputer

To train and run Gemini, Google harnessed the power of its AI Hypercomputer, a groundbreaking supercomputer architecture. This integrated system of performance-optimized hardware, open software, leading ML frameworks, and flexible consumption models enables Gemini to operate at an unprecedented scale and efficiency.

Safety First: Ensuring Responsible AI Development

Google recognizes the immense responsibility that comes with developing AI models of this magnitude. Gemini has undergone the most comprehensive safety evaluations of any Google AI model to date, ensuring that it adheres to the highest ethical standards.

Bias and Toxicity Testing: Gemini has been thoroughly tested for potential biases and harmful content, ensuring its fairness and responsible application.
Novel Risk Assessment: Google researchers have conducted extensive research into potential risk areas like cyber-offense, persuasion, and autonomy, identifying and mitigating potential threats.
Adversarial Testing: Gemini has been subjected to rigorous adversarial testing, exposing it to various attempts to manipulate or exploit its capabilities.

Impact of Gemini on the Future of AI

Gemini’s introduction marks a new era in AI development, paving the way for transformative applications across various domains. Its ability to handle complex tasks and generate creative outputs holds immense potential for advancements in healthcare, education, scientific research, and beyond.

Gemini in Action: Real-World Applications

Google AI is actively exploring the potential applications of Gemini, demonstrating its capabilities in various real-world scenarios:

Medical Diagnosis: Gemini can assist in analyzing medical data to aid in diagnosis and treatment planning.
Education Personalized Learning: Gemini can adapt to individual learning styles and preferences, providing personalized educational experiences.
Scientific Research Data Analysis: Gemini can analyze vast amounts of scientific data, facilitating the discovery of new knowledge and insights.

Summary

Google’s Gemini stands as a pivotal achievement in the realm of AI development, establishing an unprecedented standard in the capabilities and potential applications of artificial intelligence. This model’s extraordinary competence in comprehending and generating human language, coupled with its ability to process complex visual data and adeptly translate natural language into executable code, signals a revolutionary shift in technological innovation. These capabilities are set to profoundly influence and transform a myriad of sectors, ranging from communication and education to healthcare and entertainment.

As Google furthers its commitment to enhancing and deploying Gemini, the horizon of possibilities continues to expand. In the coming years, we can anticipate a surge of transformative advancements stemming from this model. These innovations will likely not only refine existing technologies but also introduce entirely new paradigms in how we interact with and leverage AI. The implications of Gemini’s evolution are vast, promising significant impacts on our day-to-day lives, the way businesses operate, and the overall progression of AI as a transformative tool in the modern world. You can find out more details about Gemini over at Google’s website at the link below.

Source Google

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Tags explained, Gemini, Google, Googles, model

News

Learn how use Google’s PaLM 2 to build AI apps

Post author By miranda cosgrove
Post date November 28, 2023
No Comments on Learn how use Google’s PaLM 2 to build AI apps

Learn how use Google's PaLM 2 to build AI apps

Are you interested in building your very own applications powered by artificial intelligence? If you are you will be pleased to know that the Free Code Camp has created a great tutorial which takes you through everything you need to know to integrate Google’s PaLM 2 AI model into your applications. The tutorial takes you through how to create your very own AI assistant and chatbot using the PaLM 2, Google’s advanced language model.

Palm 2 isn’t your average AI—it’s a large language model that’s really good at understanding and generating text that feels like it was written by a human. This means you can ask it to do things like write code, solve problems, or even translate languages, and it’ll handle it like a champ. Imagine typing out a rough draft of code and having Palm 2 polish it up for you, or quickly adapting your app for users in different countries. That’s the kind of muscle Palm 2 brings to the table.

Now, if you’re going to work with Palm 2, you’ve got to get familiar with API development and cybersecurity. You’ll be setting up the Palm 2 API, making sure your connections are secure with an API key, and protecting your data like a pro. It’s all about sending requests and getting back smart, AI-generated answers that can take your apps to the next level.

Using PaLM 2 to build AI apps

Let’s talk about chatbots. They’re everywhere these days, but with Palm 2, you can build one that’s not just responsive, but truly understands what users want. You start by designing a user-friendly interface, then hook it up to the Palm 2 API to bring your chatbot to life. It’s a great way to get a feel for what users need and how to blend front-end and back-end development smoothly.

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Speaking of the front end, you want your chatbot to look good and work flawlessly. That’s where frontend development and CSS styling come in. You’ll be crafting the visual parts of your chatbot, making sure it’s both functional and easy on the eyes. With CSS, you can style and animate your chatbot to make it look top-notch.

Setting up your development environment

Before you jump into coding, you need the right tools. Setting up your development environment is step one. You’ll pick out the best software and configurations for AI app development, choose an Integrated Development Environment (IDE), set up servers, and organize your project to keep things running smoothly and ready to grow.

Keeping your code neat and tidy is a game-changer. It makes managing and fixing things so much easier. You’ll learn the best ways to keep everything in order and get into server-side programming. That’s where you build the brains of your app, and with Palm 2, you can make your server-side logic even smarter.

An introduction to Google’s PaLM 2

Code generation

One of the coolest things about Palm 2 is its code generation ability. It can help you write code faster and better. And when it comes to debugging, Palm 2 is there to offer suggestions and improvements, making it easier to find and fix any issues that pop up.

Language translation

Palm 2 is also excellent at language translation, which means your software can go global without breaking a sweat. You’ll learn to use the model for accurate, context-aware translations. Plus, Palm 2 can help you predict what users might do or need next, making your apps more intuitive and focused on the user experience.

By getting hands-on experience and diving deep into what Palm 2 can do, you’ll be able to create a wide variety of different applications all powered by Google’s artificial intelligence. Enabling you to add unique functionality to your chatbot.

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Tags Apps, Build, Googles, learn, palm