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AI Glossary

Essential artificial intelligence and machine learning terms explained clearly.

Emerging: Small Models & Efficiency

Small Language Models (SLMs)

Small Language Models (SLMs)

Nicolas Castellanos

Nicolas Castellanos

Foundation: Mathematical & Statistical Concepts

Cross-Entropy Loss

Cross-Entropy Loss

Inference

KV Cache

KV Cache

Stevie Kim

Stevie Kim

Inference: Sampling & Generation

Inference

Inference

Prompting: Techniques & Strategies

Chain-of-Thought (CoT)

Chain-of-Thought (CoT)

RAG

LightRAG: Graph-Based RAG for Production

LightRAG: Graph-Based RAG for Production

Pedro Steimbruch

Pedro Steimbruch

Training: Fine-tuning & Adaptation

Fine-tuning AI Models

Fine-tuning AI Models

Other

Agentic Workflows: How AI Decides What To Do Next in 2026

Agentic Workflows: How AI Decides What To Do Next in 2026

Sergey Kaplich

Sergey Kaplich

Prompt Optimization: Get Better AI Outputs (2026 Guide)

Prompt Optimization: Get Better AI Outputs (2026 Guide)

Sergey Kaplich

Sergey Kaplich

Semantic Chunking

Semantic Chunking