Aiming to ease the development of generative AI applications, Meta shares the first official Llama stack distribution, simplifying how developers work with Llama Large-Scale Language Models (LLMs) in a variety of environments .
The Llama Stack distribution, announced on September 25th, comes packaged with multiple Llama Stack API providers that work together nicely to provide a single endpoint for developers, Meta announced in a blog post. I did. The Llama stack defines the building blocks for bringing generative AI applications to market. These building blocks span the entire development life cycle, from model training and fine-tuning to product evaluation to building and running AI agents and search augmentation generation (RAG) applications in production. The Llama Stack API specification repository is on GitHub.
Meta is also building providers for the Llama Stack API. The company wants to ensure that developers can assemble AI solutions with consistent, interlocking parts across platforms. The Llama Stack distribution aims to allow developers to work with Llama models in multiple environments such as on-premises, cloud, single node, and on-device, Mehta said. The Llama stack consists of the following set of APIs:
