We’re always looking for tools and technologies that bring innovative solutions to the developer community. Generative AI refers to the ability of machine learning models, such as large-scale language models (LLMs), trained on large amounts of data to learn patterns and create new content, such as text, images, video, and audio. While these are still in development, we’re seeing how models like PaLM 2 can improve code quality, increase productivity with tools like Project IDX and Android’s Studio Bot, and introduce new tools like Bard. It has already been shown to help build innovative user experiences. It’s so interesting how easy it is to work with these powerful LLMs that we’re starting his 5-part series called “Make with MakerSuite” that will show you how easy it is to get started.
What is MakerSuite?
MakerSuite is a quick and easy way to start building generative AI apps. It provides an efficient UI for prompting some of Google’s latest models and easily converts prompts into production-ready code that you can integrate into your applications. Today, we’re removing the waitlist and making MakerSuite available to everyone in 179 countries and territories.
Technology that facilitates LLM
Interacting with LLM is as easy as creating a plain language prompt, making it accessible to everyone. A prompt can be as simple as a single input, but it can be flexible to provide additional context and examples to effectively guide the model to generate the optimal response. You’ll see that just by tweaking the way you word your prompts, you can achieve different results. Harnessing the power of these models safely and effectively requires careful creation and iterative refinement.
Choose the appropriate prompt type: text, data, or chat?
When it comes to using MakerSuite, there are three prompt types to help you achieve your goals.
1. Text prompts: unleash your creativity
MakerSuite text prompts provide a flexible, free-form experience that allows you to express yourself creatively through prompts. Text prompts provide an easy way for both novice and experienced users to interact with the model.
2. Data prompts: Structured few-shot prompts
Data prompts are the go-to choice when you have examples to help you specify exactly what you want from your model. Ideal for data generation, translation, and other applications that require consistent input and output formats.

3. Chat prompts: Building conversational experiences
If your goal is to create an interactive chatbot or simulate a conversation, chat prompts are the solution. These prompts allow you to build engaging and interactive conversation experiences.

No matter which prompt type you choose, you’ll see how easy it is to use MakerSuite to prompt Google’s latest models and build exciting new user experiences.
I can’t wait to see what you build
AI is fundamentally reshaping the landscape of developer work and creativity, and we are committed to providing the developer community with access to cutting-edge models. We believe that open and collaborative developer communities drive progress, and we’re excited to see companies like LlamaIndex and Chroma leveraging MakerSuite as a building block for their own innovations. .
Sign up and start using MakerSuite in 179 countries and territories. You can find sample prompts for inspiration, or start a prompt to see what your model produces. Once you’re happy with your configuration, easily export it to code from MakerSuite and start integrating it into your applications, products, and services. If you want to use the API to directly prompt your models, sign up and get an API key from MakerSuite to get started.