Agentic RAG to help you build a startup🚀
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Updated
Apr 5, 2025 - Python
Agentic RAG to help you build a startup🚀
A user-friendly Command-line/SDK tool that makes it quickly and easier to deploy open-source LLMs on AWS
Public Goods Game (PGG) Benchmark: Contribute & Punish is a multi-agent benchmark that tests cooperative and self-interested strategies among Large Language Models (LLMs) in a resource-sharing economic scenario. Our experiment extends the classic PGG with a punishment phase, allowing players to penalize free-riders or retaliate against others.
Unified API platform for free access to enterprise-grade AI models from Google, Groq, and OpenRouter. Industrial-ready integration with high-performance Models Inc. DeepSeek-R1, QwQ 32B
A Nextjs Courses cooked by greatest ingredients: RAG, AI, Nextjs 15, RSC, PostgresSQL, Auth, React 19, Tanstack Query, TailwindCss V4....
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