RAG-FiT
Visit ToolRAG-FiT is an AI Agents & Automation tool that enhances LLMs for Retrieval-Augmented Generation (RAG) tasks. It provides a framework for fine-tuning models on RAG-augmented datasets and evaluating performance.
At a glance
Trending
RAG-FiT is an AI Agents & Automation tool that enhances LLMs for Retrieval-Augmented Generation (RAG) tasks. It provides a framework for fine-tuning models on RAG-augmented datasets and evaluating performance.
Trending
About
RAG-FiT is an open-source library developed by IntelLabs designed to significantly improve Large Language Models' (LLMs) ability to utilize external information within Retrieval-Augmented Generation (RAG) tasks. This framework facilitates fine-tuning models on specially created RAG-augmented datasets. It offers comprehensive support for the entire RAG workflow, including dataset creation, model training using parameter-efficient fine-tuning (PEFT), inference, and performance evaluation with RAG-specific metrics. The library is modular and highly customizable through configuration files, allowing for fast prototyping and experimentation across various RAG settings. It supports integration with external tools and frameworks for information retrieval and prompt generation, making it a versatile solution for developers and researchers working with RAG.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending