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Starred repositories
Fully Local Manus AI. No APIs, No $200 monthly bills. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity.
Optimus is a flexible and scalable framework built to train language models efficiently across diverse hardware configurations, including CPU, AMD, and NVIDIA GPUs.
llama3 implementation one matrix multiplication at a time
This repo contains implementation of different architectures for emotion recognition in conversations.
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
Evaluate your LLM's response with Prometheus and GPT4 💯
Building Apps with LLMs
Real-time transcription of audio, integrated with ChatGPT for interactive use. Save, load, and append transcripts for effective context management in conversations.
An autonomous HR agent that can answer user queries using tools
EVAL(Elastic Versatile Agent with Langchain) will execute all your requests. Just like an eval method!
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
[COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
🐢 Open-Source Evaluation & Testing for AI & LLM systems
Dataset and code for the paper "Large Scale Multi-lingual Multi-modal Summarization dataset".
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
The lazier way to manage everything docker