Research Report Prompt Template Guide
Research findings: The note outlines a detailed AI research plan for LLM Orches...
The note outlines a detailed AI research plan for LLM Orchestration, divided into seven phases covering foundational aspects, communication, function calling, data integration, multi-agent systems, advanced patterns, and system architecture. Each phase includes specific reports to be developed with highly detailed prompts based on the provided guidance.
Also connected to
Research findings: The note outlines a detailed AI research plan for LLM Orches...
Documentation on claude 22 research report 7.2! performance & optimization
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
How text becomes vectors, how similarity search works, and why vector databases are the backbone of semantic retrieval.