LLM Engineering
17 个课时
01 Prompt Engineering: Techniques & Patterns
CODE QUIZ 2 OUTPUTS
✓ → 02 Few-Shot, Chain-of-Thought, Tree-of-Thought CODE QUIZ 2 OUTPUTS
✓ → 03 Structured Outputs: JSON, Schema Validation, Constrained Decoding CODE QUIZ 2 OUTPUTS
✓ → 04 Embeddings & Vector Representations CODE QUIZ 2 OUTPUTS
✓ → 05 Context Engineering: Windows, Budgets, Memory, and Retrieval CODE QUIZ 2 OUTPUTS
✓ → 06 RAG (Retrieval-Augmented Generation) CODE QUIZ 2 OUTPUTS
✓ → 07 Advanced RAG (Chunking, Reranking, Hybrid Search) CODE QUIZ 2 OUTPUTS
✓ → 08 Fine-Tuning with LoRA & QLoRA CODE QUIZ 2 OUTPUTS
✓ → 09 Function Calling & Tool Use CODE QUIZ 2 OUTPUTS
✓ → 10 Evaluation & Testing LLM Applications CODE QUIZ 2 OUTPUTS
✓ → 11 Caching, Rate Limiting & Cost Optimization CODE QUIZ 2 OUTPUTS
✓ → 12 Guardrails, Safety & Content Filtering CODE QUIZ 2 OUTPUTS
✓ → 13 Building a Production LLM Application CODE QUIZ 2 OUTPUTS
✓ → 14 Model Context Protocol (MCP) CODE QUIZ 1 OUTPUTS
✓ → 15 Prompt Caching and Context Caching CODE QUIZ 1 OUTPUTS
✓ → 16 LangGraph — State Machines for Agents CODE QUIZ 1 OUTPUTS
✓ → 17 Agent Framework Tradeoffs — LangGraph vs CrewAI vs AutoGen vs Agno CODE QUIZ 1 OUTPUTS
✓ →