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Criticism of generative AI often becomes contempt for people who use it. The fair standard is human agency, not tool purity—what you contributed, corrected, and learned.
Context limits aren’t vibes—they’re math. Learn truncation behavior, token budgets, and RAG chunking so your model stops forgetting the important part.
In-depth Engineering Log review of A Developer's Guide to Integrating Generative AI into Applications by Chris Minnick: what it covers, who it helps, and wha...
Priority queues are data structures that surface the most important item first. Learn how heaps power priority queues, where they appear in real systems, and how to implement them efficiently.
Tokens are the meter your model charges in: context, latency, and cost. We'll make tokenization visible using your existing local Ollama service—first via a CLI token inspector + heatmap, then with a live-updating browser playground.
A practical deep dive into Heap Sort—how binary heaps work, why heap sort guarantees O(n log n), and how it compares to quicksort, mergesort, and selection sort across real systems.
