Jason Liu
Instructor · Intermediate
Practical patterns for getting reliable structured data from LLMs.
Skills
Structured outputs, Extraction, RAG
AI directory search
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
14 matches for "cookbook"
Instructor · Intermediate
Practical patterns for getting reliable structured data from LLMs.
Skills
Structured outputs, Extraction, RAG
Anthropic Academy and Claude docs · Beginner to advanced
Official material for learning Anthropic's current Claude family, model tradeoffs, Claude Code, MCP, computer use, practical prompt workflows, and team model-governance workflows without relying on third-party summaries.
Topics
Claude models, Claude Code, MCP, Computer use, AI fluency, Frontier model selection, Model governance, Release notes
OpenAI docs, Academy, and Cookbook · Beginner to advanced
Official model and implementation material for learning GPT-6 Astra and cost-sensitive GPT-5.6 choices, Codex workflows, subagents, memories, agent evals, MCP and connector patterns, retrieval, background jobs, prompt engineering, production best practices, model optimization, structured outputs, and OpenAI's Academy learning path.
Topics
GPT-6 Astra, GPT models, Reasoning models, Model selection, Agents, Subagents, RAG, Structured outputs, MCP, Evals, Memories
Langfuse Docs · Intermediate
Good operational material for tracing, scoring, and improving production LLM apps.
Topics
Observability, Prompt management, Evals, Tracing
Mistral models docs · Beginner to advanced
Official material for comparing current Mistral families such as Devstral, Magistral, Voxtral, OCR, and newer Small and Medium models across coding, reasoning, and multimodal use cases.
Topics
Mistral models, Open models, Model selection, Agents, Coding, Reasoning, Multimodal AI
GitHub repo · OpenAI · Beginner to advanced
You need implementation examples rather than theory.
api, examples, rag, agents
Cookbook · Perplexity · Intermediate
You want a current, implementation-focused Perplexity walkthrough for long-running deep-research jobs, async handling, and batch-style research flows.
deep research, agent api, async workflows, research workflows, grounded answers
GitHub repo · Anthropic · Intermediate
You want practical, copyable Claude examples and notebooks from Anthropic instead of starting with blank prompts or abstract API docs.
anthropic, claude, cookbook, examples, tool use
Cookbook guide · OpenAI · Intermediate
You want a practical OpenAI walkthrough for model selection tradeoffs, eval design, and rollout testing instead of treating model choice as a static table lookup.
openai, model selection, evals, latency, cost
GitHub repo · Meta Llama · Beginner to advanced
You want Meta's practical recipes for inference, fine-tuning, RAG, and end-to-end Llama applications.
llama, open models, rag, fine-tuning, deployment
Cookbook · Perplexity · Intermediate
You want copyable Perplexity examples for grounded search, embeddings, and end-to-end RAG work instead of assembling the workflow from scattered reference pages.
perplexity, cookbook, rag, agent api, embeddings
Cookbook · Hugging Face · Intermediate
You want copyable open-source AI recipes for agents, RAG, fine-tuning, deployment, and model experimentation instead of only conceptual course material.
hugging face, cookbook, open models, agents, rag
Cookbook tutorial · Hugging Face · Intermediate
You want a concrete Hugging Face recipe for building a tool-using agent with smolagents instead of starting from the broader course overview.
hugging face, smolagents, agents, tool use, open models
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Docs and cookbooks · Langfuse · Intermediate
You need production LLM tracing, scoring, and prompt operations.
observability, tracing, prompt management