Скачать или смотреть ToolOrchestra: The End of Monolithic LLMs? The Orchestration Paradigm

This video is the TL;DR. Listen to the deep explainer and read post in the link at the bottom.

Everything you've been told about "Agents" is usually about prompting. But real production systems don't rely on prompts; they rely on Orchestration.

In this System Audit of ToolOrchestra Issue 1, we reverse-engineer the "Algorithm" behind reliable agentic systems. We explore why monolithic models (like GPT-4) are often bad at decision-making due to calibration failures, and how we can train an 8B parameter "Router" to fix them using Reinforcement Learning.

What we cover:

The Economic Thesis: Why routing is essentially an arbitrage of compute costs (Part 0).
The Calibration Paradox: Why high-intelligence models fail to ask for help (Part 1).
GRPO Explained: How to train an RL policy without an expensive "Critic" model (Part 2).
Reward Scalarization: The math of balancing Accuracy, Latency, and Cost (Part 3).
This is not a hype video. This is an engineering breakdown of the control theory required to build agents that actually work.

Resources:

Read the full series: https://lambpetros.substack.com/p/the...
The ToolOrchestra Paper (Concept): https://arxiv.org/abs/2511.21689

#AI #MachineLearning #ToolOrchestra #LLM