Battle-tested patterns, production insights, and practical guides for building AI systems that actually work. No hype, just engineering.
An in-depth analysis of a real-world RAG system failure in the legal industry, and the architectural lessons every AI engineer should learn from it.
Real infrastructure patterns for high-volume LLM applications: queue management, intelligent retries, request batching, and graceful degradation.
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An in-depth analysis of a real-world RAG system failure in the legal industry, and the architectural lessons every AI engineer should learn from it.
Real infrastructure patterns for high-volume LLM applications: queue management, intelligent retries, request batching, and graceful degradation.
Real examples of prompt injection attempts against our enterprise AI products, from naive attacks to sophisticated multi-step exploits.
How we built a memory system that lets our AI agents remember context across months of interactions without blowing up costs or latency.
Why response_format isn't enough, and the validation pipeline that catches the 3% of malformed outputs that will break your production system.
A world-class deep dive into Transformers architecture. From intuition to math, with diagrams, examples, and everything you need to truly understand how ChatGPT and modern AI works.
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