5 docs tagged with "foundations"

Understand neural networks, transformers, and LLMs — parameters, training vs inference.

Tokens, BPE encoding, context length limits, and why context explosion happens.

Autoregressive generation, temperature, top-p, and sampling strategies explained.

GPT, Claude, DeepSeek, Llama, Mistral — open vs closed models and size trade-offs.

Ollama local setup, first API call to OpenAI/Anthropic, and comparing outputs.