skip to content

patterns (6)

Chain-of-Thought Prompting

CoT prompting techniques — zero-shot CoT, few-shot CoT, self-consistency, tree of thoughts, and how reasoning models compare with prompted reasoning.
chain-of-thought cot reasoning llm prompting self-consistency tree-of-thoughts thinking

LLM Evaluations

Build production evaluation pipelines for LLM applications — golden datasets, LLM-as-judge, rubrics, statistical significance, regression detection, and evals vs tests.
evals evaluation llm-as-judge golden-dataset regression statistics prompting

Few-Shot Prompting

In-context learning techniques — example selection, format design, count tuning, dynamic retrieval of demonstrations, and pitfalls of few-shot prompting.
few-shot in-context-learning icl prompting llm examples demonstrations

Prompt Engineering Patterns

Reliable prompt structures for reasoning, extraction, classification, generation, extended thinking, and vision tasks with Claude.
prompting llm ai claude chain-of-thought xml thinking

RAG Implementation Checklist

End-to-end checklist and code for building reliable Retrieval-Augmented Generation pipelines — chunking, embedding, vector DBs, retrieval, and evaluation.
rag ai embeddings vector-db llm retrieval semantic-search

Structured Output

Techniques for reliable structured generation — JSON mode, schema-constrained decoding, function/tool calls as output, and validator pairing with Pydantic or Zod.
structured-output json schema pydantic zod tool-use function-calling prompting