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50 guides in Generative AI
How knowledge distillation transfers capability from a large model into a smaller, faster one.
Generative AI 1 min read 22 Jun 2026 For people
Writing effective prompts for image generation models: subject, style, composition, lighting and iteration.
Generative AI 1 min read 21 Jun 2026 For people
How AI video generation works, what current tools can do, and practical and ethical considerations.
Generative AI 1 min read 20 Jun 2026 For people
What large context windows enable, their costs and limitations, and when retrieval is still better.
Generative AI 1 min read 19 Jun 2026 For people
How caching the repeated parts of prompts cuts cost and latency for LLM applications, and how to structure prompts to benefit.
Generative AI 1 min read 18 Jun 2026 For people
Using batch APIs to process large volumes of requests more cheaply when you don't need instant answers.
Generative AI 1 min read 17 Jun 2026 For people
How language models call functions you define, how to implement the request-response loop, and best practices.
Generative AI 1 min read 16 Jun 2026 For people
Why agents need different evaluation from single-turn chat, and what to measure for each.
Generative AI 1 min read 15 Jun 2026 For people
How marketing, communications and content teams can use generative AI productively while protecting quality and brand.
Generative AI 1 min read 14 Jun 2026 For people
A practical toolkit for reducing invented facts in LLM applications, from grounding to verification.
Generative AI 1 min read 13 Jun 2026 For people