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Short, practical reads on AI and data — from first principles to RAG, agents, MCP and AI security. Free, no sign-in.
50 guides in Generative AI
How meaning-based search differs from matching words, where each wins, and why hybrid search is often best.
Generative AI 2 min read 12 Jul 2026 For people
How a second-stage re-ranker improves retrieval quality for search and RAG, and the trade-offs in speed and cost.
Generative AI 2 min read 11 Jul 2026 For people
Input checks, output checks and policy enforcement that keep language model applications safe and on-task.
Generative AI 2 min read 10 Jul 2026 For people
How chat applications remember context — conversation history, summaries and long-term memory — and the privacy questions involved.
Generative AI 2 min read 9 Jul 2026 For people
Three ways to adapt a language model to your needs, what each is good for, and how to choose.
Generative AI 2 min read 8 Jul 2026 For people
Using language models to create training and test data: where it helps, where it misleads, and how to check it.
Generative AI 2 min read 7 Jul 2026 For people
What the Model Context Protocol is, how it connects AI assistants to tools and data, and the security considerations.
Generative AI 2 min read 6 Jul 2026 For people
What public benchmarks measure, why leaderboard scores can mislead, and how to complement them with your own tests.
Generative AI 1 min read 5 Jul 2026 For people
How automatic speech recognition works, choosing a model, and measuring accuracy with word error rate.
Generative AI 2 min read 4 Jul 2026 For people
How modern speech synthesis works, what it's used for, and the consent and deception risks of voice cloning.
Generative AI 1 min read 3 Jul 2026 For people
Recall@k, precision@k, MRR and NDCG: how to measure whether your search or RAG retrieval finds the right documents.
Generative AI 2 min read 2 Jul 2026 For people
A practical plan for a document question-answering assistant: scope, ingestion, retrieval, prompting, evaluation and launch.
Generative AI 2 min read 1 Jul 2026 For people
Apache-2.0, MIT, OpenRAIL, community licences and more: what common model licences allow and what to check before using a model.
Generative AI 2 min read 30 Jun 2026 For people
Why language model responses feel slow, the metrics that matter, and techniques including streaming to make applications responsive.
Generative AI 2 min read 29 Jun 2026 For people
How to get summaries that are accurate, the right length and useful to the reader, and how to check them for errors.
Generative AI 2 min read 28 Jun 2026 For people
The stages behind today's language models: pre-training on text, instruction tuning, and learning from feedback.
Generative AI 1 min read 27 Jun 2026 For people
How language models split text into tokens, why it affects cost, limits and quirks, and how to count tokens.
Generative AI 1 min read 26 Jun 2026 For people
Deciding what information goes into a model's context window — instructions, examples, retrieved data and history — to get the best results.
Generative AI 1 min read 25 Jun 2026 For people
When smaller, cheaper models are the better choice, and how to get strong results from them.
Generative AI 1 min read 24 Jun 2026 For people
How reducing numerical precision makes models smaller and faster, and the quality trade-offs involved.
Generative AI 1 min read 23 Jun 2026 For people