November 2025
Intermediate to advanced
478 pages
11h 23m
English
Imagine you’re tasked with building a high-frequency trading system. You wouldn’t reach for a general-purpose scripting language and a consumer-grade laptop – you’d reach for a low-latency, highly optimized stack, tuned for the precise demands of your domain. In engineering, we know that the right tool, properly configured, is the difference between it works and it works at scale, reliably, and with guarantees.
This is the core challenge with general-purpose Large Language Models (LLMs). Models like OpenAI’s GPT-5 or Claude 4 Sonnet are astonishingly capable generalists, but they’re the equivalent of a robust, all-in-one framework: flexible, but not optimized for the edge cases and ...
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