#大语言模型#🐢 Open-Source Evaluation & Testing for AI & LLM systems
#大语言模型#AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
#自然语言处理#Framework for testing vulnerabilities of large language models (LLM).
This project aims to compare different Retrieval-Augmented Generation (RAG) frameworks in terms of speed and performance.
A framework for systematic evaluation of retrieval strategies and prompt engineering in RAG systems, featuring an interactive chat interface for document analysis.
RAG Chatbot for Financial Analysis
Learn Retrieval-Augmented Generation (RAG) from Scratch using LLMs from Hugging Face and Langchain or Python
Using MLflow to deploy your RAG pipeline, using LLamaIndex, Langchain and Ollama/HuggingfaceLLMs/Groq
BetterRAG: Powerful RAG evaluation toolkit for LLMs. Measure, analyze, and optimize how your AI processes text chunks with precision metrics. Perfect for RAG systems, document processing, and embeddin...
#大语言模型#PandaChat-RAG benchmark for evaluation of RAG systems on a non-synthetic Slovenian test dataset.
Proposal for industry RAG evaluation: Generative Universal Evaluation of LLMs and Information retrieval
A web sandbox for hands-on learning of LLM and RAG Evaluation
Different approaches to evaluate RAG !!!
RAG Chatbot over pre-defined set of articles about LangChain
Home assignment featuring two AI projects: a Medical Q&A Bot for Israeli HMOs and a National Insurance Form Extractor. Built with Azure OpenAI to demonstrate practical GenAI implementation skills.