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Search: ai-guide
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Showing 10 results from 622
nicholasdbrady/cookbook
GitHub AstroExamples and guides for adopting Azure AI
External source
GitHub
aws-greengrass/greengrass-agent-context-pack
GitHub Python Creative Commons Attribution Share Alike 4.0 InternationalStructured knowledge and step-by-step guides for AI agents to quickly set up and experiment with Greengrass (Java and Lite) in containerized environments.
External source
GitHub
izam-mohammed/Awesome-GenAI
GitHub Apache License 2.0A curated collection of tutorials, examples, and tools for generative AI. Dive into a variety of resources, from practical examples and comprehensive guides to trending projects and innovative tools, to enhance your understanding and skills in generative AI.
External source
GitHub
vashisth-lab/VitrimerVAE
GitHub Python MIT LicenseAI-Guided Inverse Design and Discovery of Recyclable Vitrimeric Polymers: https://doi.org/10.1002/advs.202411385
External source
GitHub
vinta/dear-ai
GitHub TypeScript MIT LicenseStep-by-step guides that AI coding agents can execute for you
External source
GitHub
Troyanovsky/vibe-coding-guide
GitHubThis guide helps both beginner and experienced programmers best utilize AI-assisted coding tools.
External source
GitHub
MaelAbgrall/HardwareforAI
GitHub:wrench: Hardware & computer guide for AI: how to choose & build a computer. This guide is intended for beginers in hardware, in order to plan what you need and how to choose parts for a computer specialized in Deep Learning. ๐ค
External source
GitHub
skysheng7/ai-agent-prompts
GitHub Shell MIT License๐ค A curated collection of battle-tested system prompts and rules for guiding AI agents across different domains and tasks
External source
GitHub
iblai/claws-setup
GitHub MIT LicenseConnect self-hosted OpenClaw and NemoClaw servers to the ibl.ai platform โ server setup, Caddy TLS, and full API integration guides
External source
GitHub
bradAGI/awesome-free-inference
GitHub MIT LicenseThe complete guide to free AI/LLM inference APIs โ 20+ providers, 81+ verified $0 models, rate limits, context windows, and code examples
External source
GitHub
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