Prompting large language models
How LLMs work, how to write prompts that get reliable results, and how to check what comes back.
A free course on building AI agents: tools, reasoning loops, frameworks and evaluation.
Hugging Face's agents course covers how LLM agents use tools and plan, and how to build them with popular agent frameworks, ending with hands-on projects. A good follow-on to glitchdata's own Building AI agents with tool use.
glitchdata links to this course; its content, schedule and pricing are set by Hugging Face.
This course is run by Hugging Face. glitchdata describes it and links to it, but doesn't host its lessons — you take it on their site, under their terms.
huggingface.co ↗2 min read
2 min read
2 min read
2 min read
How LLMs work, how to write prompts that get reliable results, and how to check what comes back.
Turn text into vectors, build a semantic search index, and ground an LLM's answers in your own documents.
How LLM agents call tools in a loop, how to design tools they use well, and how to keep agents safe and reliable.