Section
Gemini
The latest Gemini coverage from Bullquill: sourced, dated and explained.
4 POSTSUPDATED
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What is a context window? LLM tokens, 1M limits and recall
The context window is an LLM's working memory, counted in tokens and shared by your prompt, history, reasoning and reply. Here is how it is measured, how big it is on current models, and why long prompts still miss facts in the middle.
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How to reduce LLM API costs: caching, batching and model routing
Log input, cached, output and thinking tokens first, then apply four techniques in Python. Cache reads cost 0.1x the normal input price or less at OpenAI and Anthropic, and batch APIs charge 50% of standard prices.
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Prompt engineering techniques: 9 ways to write better LLM prompts
A vendor-neutral guide built on the official OpenAI, Anthropic and Google documentation, with before-and-after examples and about 40 lines of Python to test prompt variants against your own evaluation set.
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AI Weekly #1: Gemini 4 Argon, Meta's Open Muse Spark, EU AI Act
Gemini 4 Argon arrives, Meta opens Muse Spark weights, DeepSeek updates Flash, and the EU publishes its first AI Act standard. What it means.
