Google's PaLM API and MakerSuite for Generative AI Applications

Google has announced a new developer offering, the PaLM API, which provides an easy and safe entry point for Google's large language models. PaLM API can be used for a variety of applications, and developers can quickly start building generative AI applications without the need for different tools. Google's MakerSuite provides easy iteration on prompts, synthetic dataset generation, and easy tuning of custom models. The synthetic data generated through MakerSuite and embeddings generated through PaLM API can be used for different scenarios such as tuning, evaluations, and building applications with external data sources. Google has built these models as per their AI Principles, ensuring developers have a responsible AI foundation to start with. The developers can iterate on safety dimensions that best suit their unique application and use case. Soon, Google will onboard new developers, roll out new features, and make this technology available to the broader developer community.

Easy and Safe Experimentation with Google's Large Language Models

PaLM API will make it easy for developers to experiment with Google's large language models, which can be used for different applications. Developers can access PaLM API through private preview, and Google will soon release the waitlist. It provides a simple entry point to Google's large language models, and developers can start building generative AI applications without different tools.

MakerSuite for Easy Iteration on Prompts, Synthetic Dataset Generation, and Custom Model Tuning

Developers have to use different tools for crafting, iterating on prompts, dataset generation, and tuning custom models. MakerSuite provides an approachable way for developers to prototype and build generative AI applications. It allows easy iteration on prompts, dataset augmentation with synthetic data, and easy tuning of custom models, making things easier for developers.

Synthetic Data Generation and Embeddings for Different Scenarios

High-quality data is crucial for AI development, limiting developers if they have limited data. MakerSuite allows developers to generate synthetic data based on a few examples, which can be used in different scenarios such as tuning, evaluations, and so on. The embeddings generated through PaLM API allow developers to build applications based on external data sources.

Responsible AI Foundation with Google's AI Principles

Google built their models according to their AI Principles, ensuring developers have a responsible AI foundation to start from. They can test and adjust safety dimensions that best suit their unique application and use case, making it easier to build responsible and safe AI models.

Scaling Generative AI Applications with Developer Support

Google aims to make AI accessible and empower developers to start building generative AI applications. These tools will make it easy for developers to prototype and build generative AI applications, and when they need scaling, they will have the support they need. Google plans to onboard new developers, roll out new features, and make this technology available to a broader developer community soon.