A resource to help you pass system design interview and become good at work

🐚 OpenDevin: Code Less, Make More

Typer, build great CLIs. Easy to code. Based on Python type hints.

The official Meta Llama 3 GitHub site

Fully serverless streaming RAG application

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progres…

LLM training in simple, raw C/CUDA

Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure

All the code examples I use in my videos

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

Feasible cost konfigurable NAT: An AWS NAT Instance AMI

Build a Perplexity-Inspired Answer Engine Using Next.js, Groq, Llama-3, Langchain, OpenAI, Upstash, Brave & Serper

⚡️ Simple, Modular & Accessible UI Components for your React Applications

@material-tailwind is an easy-to-use components library for Tailwind CSS and Material Design.

LangChain LLM application. Dynamic metaprompting for theory-of-mind-powered tutoring.

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

Chatbot Ollama is an open source chat UI for Ollama.

Fully-featured, beautiful web interface for Ollama LLMs - built with NextJS. Deploy with a single click.

Grok open release

Drag & drop UI to build your customized LLM flow

Vitess is a database clustering system for horizontal scaling of MySQL.

The Cloudformation Templates guides the users to setup a codepipeline in Account-A, CodeCommit in Account-B and Deployment of a Sample Lambda in Account-C. Provides a reference for customers to use…

🦜⛏️ Did you say you like data?

Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

A Unified Library for Parameter-Efficient and Modular Transfer Learning

Fast and memory-efficient exact attention

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