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Cost-efficient and pluggable Infrastructure components for GenAI inference
Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation
Open source Claude Artifacts – built with Llama 3.1 405B
Janus-Series: Unified Multimodal Understanding and Generation Models
Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
Build LLM-powered Dart/Flutter applications.
The most customisable and low-latency cross platform/shell prompt renderer
You may find the resources (books, notes, interview questions, exam questions, cheatsheet, whitepaper, guide, handson, handbook, etc.) about DevOps and Cloud System.
Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with comma…
PromptFiller: A lightweight, efficient tool for managing and replacing placeholders in dynamic templates with ease.
THIS REPOSITORY IS JUST MIRROR! Main development repository is https://codeberg.org/Freedium-cfd/web
A list of free LLM inference resources accessible via API.
Awesome deals on Black Friday: Apps, SaaS, Books, Courses, etc.
NestJS Starter Kit. Monolithic Backend. REST API.
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
Database diagrams editor that allows you to visualize and design your DB with a single query.
🔂 Preview website in surge.sh for every pull request.
LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.
Awesome-LLM: a curated list of Large Language Model
A high-throughput and memory-efficient inference and serving engine for LLMs
LeaderWorkerSet: An API for deploying a group of pods as a unit of replication
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.