Latest Open Source Projects
browser-use
browser-use
TLDR: The browser-use repository provides an easy way to connect AI agents with the browser. It offers features like vision and html extraction, multi-tab management, custom actions, and parallelization of agents. It also collects anonymous usage data for improvement.
multi-agent-orchestrator
multi-agent-orchestrator
TLDR: The multi-agent-orchestrator is an open-source framework for orchestrating multiple AI agents to handle complex conversations. It features intelligent intent classification, dual language support, flexible agent responses, context management, extensible architecture, and universal deployment. It comes with pre-built agents and classifiers and offers a variety of examples and quick start guides.
RAG_Techniques
RAG_Techniques
TLDR: This repository is a comprehensive collection of advanced Retrieval-Augmented Generation (RAG) techniques. It includes various methods for enhancing RAG systems such as query enhancement, context enrichment, advanced retrieval methods, iterative and adaptive techniques, evaluation, explainability, and advanced architectures.
Building-llama3-from-scratch
Building-llama3-from-scratch
TLDR: This repository contains code to build the LLaMA 3 language model from scratch using Python. It explains the components of LLaMA 3 such as pre-normalization using RMSNorm, SwiGLU activation function, Rotary Embeddings (RoPE), and Byte Pair Encoding (BPE) Algorithm. The code shows how to tokenize input data, create embeddings for each token, implement attention heads, self-attention, multi-head attention, SwiGLU activation function, and generate the output.
awesome-llm-apps
awesome-llm-apps
TLDR: A curated collection of LLM apps built with RAG and AI agents. Features apps using models from various sources and includes projects in different domains. Also provides instructions for getting started and welcomes contributions.
MoneyPrinterV2
MoneyPrinterV2
TLDR: An application that automates the process of making money online. Features include Twitter bot, YouTube Shorts automater, affiliate marketing, and finding local businesses. Requires Python 3.9 and has installation instructions and scripts for easier usage.
LLMs-from-scratch
LLMs-from-scratch
TLDR: This repository contains code for developing, pretraining, and finetuning a GPT-like LLM. It is the official code repository for the book 'Build a Large Language Model (From Scratch)'. The code is designed to run on conventional laptops and automatically utilizes GPUs if available. It also includes bonus materials and has specific hardware requirements.
gpt-researcher
gpt-researcher
TLDR: GPT Researcher is an autonomous agent for comprehensive web and local research. It produces detailed research reports with citations, addresses issues of misinformation and token limitations in LLMs, and offers features like smart image scraping, long report generation, and multiple source aggregation. It can be installed via various methods and has a multi-agent assistant and enhanced frontend applications.
cryptography
cryptography
TLDR: cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.