Test-Time Compute Explained: Benchmarking and Optimizing AI Agents

Описание: Agents can scale by sampling tools, testing multiple trajectories, re-running functions and more. NVIDIA NeMo Agent Toolkit, an open-source library that provides framework-agnostic profiling, evaluation, and optimization for connected AI agent systems, provides a configurable way to wrap existing LLMs and tools with this functionality to improve workflow performance. In this step-by-step tutorial, we show you how to get started using the NeMo Agent Toolkit test time compute module with searching, editing, scoring and selection.

➡️ Learn more about NeMo Agent Toolkit: https://nvda.ws/3US1tKF
📥 Download NeMo Agent Toolkit: https://github.com/NVIDIA/NeMo-Agent-...
📝 Explore Documentation for NeMo Agent Toolkit: https://docs.nvidia.com/nemo/agent-to...

00:00 – Test Time Compute Explained
02:12 – Overview of Test Time Compute Module
3:18 – How to Write a Custom Scoring, Searching, Editing or Selection Strategy
6:13 – Make Your Strategy Discoverable in NeMo Agent Toolkit
7:43 – RAG Example
10:00 - Prebuilt TTC Functions

Test time compute, NeMo Agent Toolkit, AI Agents
#AIAgents #NeMoAgentToolkit