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Introduction
Core AI/LLM Knowledge Table
References
Foundational Architecture & Mechanisms
Tokenization & Embeddings
Pre-training & Fine-tuning
Parameter-Efficient Fine-Tuning (PEFT)
RLHF & Alignment
Prompt Engineering & In-Context Learning
Chain-of-Thought & Advanced Reasoning
RAG & Vector Databases
Context & Memory Management
Inference & Optimization
Evaluation Metrics
Hallucination & Safety
Function Calling & Agents
Model Selection
Synthetic Data & Training Data
Multimodal & Vision-Language Models
Cost Optimization
Structured Output
Advanced Techniques