Tag: llm

A student's look at Jev, TypeSafe AI's first "System One" model — what it is, how it differs from chat LLMs, where it fits, and how to make your first call with the Python SDK or curl.

A quick-reference glossary of the AI terms developers keep running into — inference, tokens, quantization, 8B/70B model sizes, MoE, chain of thought, tool calling, MCP, RAG, agents and more — explained in plain language.

A student's guide to Pydantic for data validation in Python, and PydanticAI for building LLM agents that return typed, validated output — with install steps, code and real use cases.

Why LiteLLM is so handy when you're building with LLMs — one OpenAI-style interface for 100+ providers — plus how to install it, call different models, and run the proxy server.