AI-Mou

AI-Mou

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AI-Mou's repositories

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deepeval

The LLM Evaluation Framework

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KnowledgeEditingPapers

Must-read Papers on Knowledge Editing for Large Language Models.

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team5-java-spring

Repository created by AWS CodeStar.

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Team5-Sample-Flask-App

Repository created by AWS CodeStar.

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CopilotKit

A framework for building custom AI Copilots 🤖 in-app AI chatbots, in-app AI Agents, & AI-powered Textareas.

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langfuse

🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

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bitcoin-order-app

bitcoin-order-app

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embedchain

Personalizing LLM Responses

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FlashRAG

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

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FinRobot

FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀

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agentUniverse

agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications. Furthermore, through the community, they can exchange and share practices of patterns across different domains.

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reader

Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/

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AdvancedLiterateMachinery

A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Alibaba DAMO Academy.

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LLM-Travel

欢迎来到 "LLM-travel" 仓库!探索大语言模型(LLM)的奥秘 🚀。致力于深入理解、探讨以及实现与大模型相关的各种技术、原理和应用。

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open-parse

PDF Layout Chunking for LLMs

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openfeature

OpenFeature project community and governance

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MaxKB

💬 基于 LLM 大语言模型的知识库问答系统,1Panel 官方出品。开箱即用,支持快速嵌入到第三方业务系统。

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ragflow

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

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ComfyUI

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

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litellm

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

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R2R

A framework for rapid development and deployment of production-ready RAG systems

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