Research Report 7.2: Performance and Optimization
A systems view of performance: bottlenecks, caching, batching, and cost-control in LLM orchestration.
Explains how to measure, diagnose, and optimize orchestration systems with a focus on latency, throughput, resource utilization, and cost tradeoffs.
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Documentation on claude 22 research report 7.2! performance & optimization
Research findings: This research report investigates the technical pipeline of ...
How text becomes vectors, how similarity search actually works, and why understanding the mathematics behind embeddings is the difference between a RAG system that retrieves relevant documents and one that retrieves plausible-sounding garbage
The project documentation for a 23-report research initiative that explains how LLM systems actually work - from transformer mechanics through multi-agent coordination, built for technical leaders who need accurate mental models rather than vendor marketing
Every AI product you use runs on the same core mechanism - a pattern-matching engine that processes entire sentences simultaneously instead of word by word, and understanding how it works changes how you build with it