Articles
Retrieval-Augmented Generation, explained
Why language models need retrieval, how a RAG pipeline is put together, and where it tends to fail.
Oct 20, 2026 · 2 min read
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#llm
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Reports
A practical guide to evaluating LLM applications
A step-by-step framework for building test sets, choosing metrics and catching regressions before users do.
Oct 19, 2026 · 2 min read
Articles
How transformers work, without the math
Tokens, embeddings, attention and next-token prediction: the ideas behind every modern language model.
Oct 18, 2026 · 2 min read
Articles
What makes an AI system an 'agent'?
Agents are language models that work in a loop with tools. Here's what that means and how to build one responsibly.
Oct 15, 2026 · 1 min read