Search across educators, skills, and resources.

Simon Willison

Simon Willison on LLMs · Beginner to advanced

Consistently useful notes, demos, model comparisons, and warnings about practical LLM use without product marketing gloss.

Skills

LLM tools, Prompting, AI safety, Local models, Model selection

Mervin Praison

PraisonAI · Intermediate

A practical open-source builder path for learners who want agent patterns, examples, and tool integrations they can inspect directly.

Skills

AI agents, Multi-agent workflows, MCP, RAG, Open source

Arize AI

Phoenix · Intermediate

Useful for debugging and evaluating LLM applications once you move beyond prototypes.

Topics

Observability, Evals, Tracing, RAG debugging

Langfuse

Langfuse Docs · Intermediate

Good operational material for tracing, scoring, and improving production LLM apps.

Topics

Observability, Prompt management, Evals, Tracing

Promptfoo

Promptfoo Docs · Intermediate

Very practical for regression testing prompts, model changes, and LLM outputs.

Topics

Prompt testing, Evals, Red teaming