Lists (1)
Stars
Fast and easy to use database for traces, which can efficiently handle terabytes of trace spans.
Fast and easy to use database for logs, which can efficiently handle terabytes of logs
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
Recursive Language Models for unbounded context processing. Process 100k+ tokens with any LLM by storing context as variables instead of prompts.
Super basic implementation (gist-like) of RLMs with REPL environments.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Machine Learning Journal for Intermediate to Advanced Topics.
Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.
FerrisKey is an open-source IAM solution designed for modern cloud-native environments. With its high-performance API written in Rust and its intuitive web interface developed in Typescript/React, …
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Prompts for our Grok chat assistant and the `@grok` bot on X.
Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
DevOps agent that won't accidentally tweet your AWS credentials 🦀
Interactive HTML tutorial: Understanding Transformers from Zero to Hero. Learn the math, attention mechanisms, and complete GPT architecture with hands-on demos.
The ESP32-BlueJammer (Bluetooth jammer, BLE jammer, WiFi jammer, RC jammer) disrupts 2.4GHz communications. Using an ESP32 and nRF24 modules, it generates noise and unnecessary packets, causing int…
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Chat with your Kubernetes Cluster using AI tools and IDEs like Claude and Cursor!
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph