Tag Archives: PaLM 2

Build with Google AI: new video series for developers

Posted by Joe Fernandez, AI Developer Relations, and Jaimie Hwang, AI Developer Marketing

Artificial intelligence (AI) represents a new frontier for technology we are just beginning to explore. While many of you are interested in working with AI, we realize that most developers aren't ready to dive into building their own artificial intelligence models (yet). With this in mind, we've created resources to get you started building applications with this technology.

Today, we are launching a new video series called Build with Google AI. This series features practical, useful AI-powered projects that don't require deep knowledge of artificial intelligence, or huge development resources. In fact, you can get these projects working in less than a day.

From self-driving cars to medical diagnosis, AI is automating tasks, improving efficiency, and helping us make better decisions. At the center of this wave of innovation are artificial intelligence models, including large language models like Google PaLM 2 and more focused AI models for translation, object detection, and other tasks. The frontier of AI, however, is not simply building new and better AI models, but also creating high-quality experiences and helpful applications with those models.

Practical AI code projects

This series is by developers, for developers. We want to help you build with AI, and not just any code project will do. They need to be practical and extensible. We are big believers in starting small and tackling concrete problems. The open source projects featured in the series are selected so that you can get them working quickly, and then build beyond them. We want you to take these projects and make them your own. Build solutions that matter to you.

Finally, and most importantly, we want to promote the use of AI that's beneficial to users, developers, creators, and organizations. So, we are focused on solutions that follow our principles for responsible use of artificial intelligence.

For the first arc of this series, we focus on how you can leverage Google's AI language model capabilities for applications, particularly the Google PaLM API. Here's what's coming up:

  • AI Content Search with Doc Agent (10/3) We'll show you how a technical writing team at Google built an AI-powered conversation search interface for their content, and how you can take their open source project and build the same functionality for your content. 
  • AI Writing Assistant with Wordcraft (10/10) Learn how the People and AI Research team at Google built a story writing application with AI technology, and how you can extend their code to build your own custom writing app. 
  • AI Coding Assistant with Pipet Code Agent (10/17) We'll show you how the AI Developer Relations team at Google built a coding assistance agent as an extension for Visual Studio Code, and how you can take their open source project and make it work for your development workflow.

For the second arc of the series, we'll bring you a new set of projects that run artificial intelligence applications locally on devices for lower latency, higher reliability, and improved data privacy.

Insights from the development teams

As developers, we love code, and we know that understanding someone else's code project can be a daunting task. The series includes demos and tutorials on how to customize the code, and we'll talk with the people behind the code. Why did they build it? What did they learn along the way? You’ll hear insights directly from the project team, so you can take it further.

Discover AI technologies from across Google

Google provides a host of resources for developers to build solutions with artificial intelligence. Whether you are looking to develop with Google's AI language models, build new models with TensorFlow, or deploy full-stack solutions with Google Cloud Vertex AI, it's our goal to help you find the AI technology solution that works best for your development projects. To start your journey, visit Build with Google AI.

We hope you are as excited about the Build with Google AI video series as we are to share it with you. Check out Episode #1 now! Use those video comments to let us know what you think and tell us what you'd like to see in future episodes.

Keep learning! Keep building!

MakerSuite expands to 179 countries and territories, and adds helpful features for AI makers

Posted by Simon Tokumine, Director of Product Management

When we announced MakerSuite earlier this year, we were delighted to see people from all over the world sign up for the waitlist. With MakerSuite we want to help anyone become an AI maker and easily create innovative AI applications with Google’s large generative models. We’re excited to see how it’s being used.

Today, we’re expanding access to MakerSuite to cover 179 countries and territories, including anyone with a Google Workspace account. This means that more developers than ever can sign up to create AI applications with our latest language model, PaLM 2.

We’re also introducing three helpful features:

  • Automatically optimize your text prompts
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    Image showing prompt suggestion in MakerSuite
    Want to write better prompts? Now, you can write a text prompt and click "Prompt Suggestion" to get ideas and suggestions to get better responses 
  • Enable dark mode
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    Image showing light mode and dark mode UX in MakerSuite
    In MakerSuite, you can now switch from light mode to dark mode in the settings.
  • Import and export your data with Google sheets and CSV to save time and collaborate effectively
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    Image showing import data function in MakeSuite
    Import and export your data to and from Google Sheets or CSV files easily. This can save you time by eliminating the need to recreate data that you have already created. It can also help you collaborate more effectively with others by allowing you to share your results easily.

Easily go from MakerSuite to code

Since the PaLM API is integrated into MakerSuite, it’s easy to quickly try different prompts from your browser, and then incorporate them into your code—no machine learning expertise required.

Moving image showing how users can copy their code with one click to integrate it into their project
Once your prompt is ready, simply copy your code in just one click and integrate it into your project

Get started

Sign up and learn more on our Generative AI for Developers website. Be sure to check out our quick-start guide, browse our prompt gallery, and explore sample apps for inspiration. We can't wait to see what you build with MakerSuite!

PaLM API & MakerSuite moving into public preview

Posted by Barnaby James, Director, Engineering, Google Labs and Simon Tokumine, Director, Product Management, Google Labs

At Google I/O, we showed how PaLM 2, our next generation model, is being used to improve products across Google. Today, we’re making PaLM 2 available to developers so you can build your own generative AI applications through the PaLM API and MakerSuite. If you’re a Google Cloud customer, you can also use PaLM API in Vertex AI.


The PaLM API, now powered by PaLM 2

We’ve instruction-tuned PaLM 2 for ease of use by developers, unlocking PaLM 2’s improved reasoning and code generation capabilities and enabling developers to easily use the PaLM API for use cases like content and code generation, dialog agents, summarization, classification, and more using natural language prompting. It’s highly efficient, thanks to its new model architecture improvements, so it can handle complex prompts and instructions which, when combined with our TPU technologies, enable speeds as high as 75+ tokens per second and 8k context windows.

Integrating the PaLM API into the developer ecosystem

Since March, we've been running a private preview with the PaLM API, and it’s been amazing to see how quickly developers have used it in their applications. Here are just a few:

  • GameOn Technology has used the chat endpoint to build their next-gen chat experience to bring fans together and summarize live sporting events
  • Vercel has been using the text endpoint to build a video title generator
  • Wendy’s has used embeddings so customers can place the correct order with their talk-to-menu feature

We’ve also been excited by the response from the developer tools community. Developers want choice in language models, and we're working with a range of partners to be able to access the PaLM API in the common frameworks, tools, and services that you’re using. We’re also making the PaLM API available in Google developer tools, like Firebase and Colab.

Image of logos of PaLM API partners including Baseplate, Gradient, Hubble, Magick, Stack, Vellum, Vercel, Weaviate. Text reads, 'Integrated into Google tools you already use' Blelow this is the Firebase logo
The PaLM API and MakerSuite make it fast and easy to use Google’s large language models to build innovative AI applications

Build powerful prototypes with the PaLM API and MakerSuite

The PaLM API and MakerSuite are now available for public preview. For developers based in the U.S., you can access the documentation and sign up to test your own prototypes at no cost. We showed two demos at Google I/O to give you a sense of how easy it is to get started building generative AI applications.

Image of logos of PaLM API partners including Baseplate, Gradient, Hubble, Magick, Stack, Vellum, Vercel, Weaviate. Text reads, 'Integrated into Google tools you already use' Blelow this is the Firebase logo
We demoed Project Tailwind at Google I/O 2023, an AI-first notebook that helps you learn faster using your notes and sources

Project Tailwind is an AI-first notebook that helps you learn faster by using your personal notes and sources. It’s a prototype that was built with the PaLM API by a core team of five engineers at Google in just a few weeks. You simply import your notes and documents from Google Drive, and it essentially creates a personalized and private AI model grounded in your sources. From there, you can prompt it to learn about anything related to the information you’ve provided it. You can sign up to test it now.

Image of logos of PaLM API partners including Baseplate, Gradient, Hubble, Magick, Stack, Vellum, Vercel, Weaviate. Text reads, 'Integrated into Google tools you already use' Blelow this is the Firebase logo
MakerSuite was used to help create the descriptions in I/O FLIP

I/O FLIP is an AI-designed take on a classic card game where you compete against opposing players with AI-generated cards. We created millions of unique cards for the game using DreamBooth, an AI technique invented in Google Research, and then populated the cards with fun descriptions. To build the descriptions, we used MakerSuite to quickly experiment with different prompts and generate examples. You can play I/O FLIP and sign up for MakerSuite now.

Over the next few months, we’ll keep expanding access to the PaLM API and MakerSuite. Please keep sharing your feedback on the #palm-api channel on the Google Developer Discord. Whether it’s helping generate code, create content, or come up with ideas for your app or website, we want to help you be more productive and creative than ever before.