Llama Stack standardizes the core building blocks that simplify AI application development. It codifies best practices across the Llama ecosystem. More specifically, it provides. Unified API layer for Inference, RAG, Agents, Tools, Safety, Evals, and Telemetry.

Stack-Llama-2 DPO fine-tuned Llama-2 7B model . The model is designed to generate human-like responses to questions in Stack Exchange domains of programming, mathematics, physics, and more.

Llama Stack is a comprehensive system that provides a uniform set of tools for building, scaling, and deploying generative AI applications, enabling developers to create, integrate, and orchestrate multiple AI services and capabilities into an adaptable setup.

3 天之前 · Llama Stack standardizes the core building blocks that simplify AI application development. It codifies best practices across the Llama ecosystem. More specifically, it provides. Unified API layer for Inference, RAG, Agents, Tools, Safety, Evals, and Telemetry.

LLAMA2一键可运行整合包：Windows10+消费级显卡可用（Meta大语言模型），无需显卡，在本地体验llama2系列模型，支持7B、13B、70B，Llama2 技术详解，五分钟快速一键启动Llama2，不用搞环境，"妙鸭相机"开源版facechain本地部署详细教程（windows系统），从0构建llama2+localGPT ...

今天为大家介绍一款强大的开源工具——Llama Stack，它致力于定义并标准化构建生成式AI应用所需的核心模块，为开发者提供一站式解决方案。 什么是Llama Stack？

2023年4月5日 · In this blog post, we show all the steps involved in training a LlaMa model to answer questions on Stack Exchange with RLHF through a combination of: Supervised Fine-tuning (SFT) Reward / preference modeling (RM)

Changing providers requires significant code changes. Llama Stack addresses these challenges through a service-oriented, API-first approach: Develop Anywhere, Deploy Everywhere. Production-Ready Building Blocks. True Provider Independence. Robust Ecosystem.

What is Llama Stack? Llama Stack defines and standardizes the core building blocks needed to bring generative AI applications to market. It provides a unified set of APIs with implementations from leading service providers, enabling seamless transitions between development and production environments.

This repo shows examples of applications built on top of Llama Stack. Starting Llama 3.1 you can build agentic applications capable of: breaking a task down and performing multi-step reasoning. using tools to perform some actions built-in: the model has built-in knowledge of tools like search or code interpreter