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.

2024-10-31 Github

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.

2024-07-23 Github

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.

2024-07-13 Github

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.

2024-05-27 Github

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.

llms python rag Python
2024-04-29 Github

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.

2024-02-12 Github

LLMs-from-scratch

38,600
@rasbt

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.

2023-07-23 Github

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.

2023-05-12 Github

cryptography

6,877
@pyca

cryptography

TLDR: cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.

2013-08-07 Github