Handuo Zhang
  • Bio
  • Papers
  • Talks
  • Post
  • Experience
  • Projects
  • Teaching
  • Projects
    • FC-Model
    • G-Mate - Build a Copilot for KOLs, from Content Creation to Monetization
    • W-Hiring
    • Lupan
    • Watt
    • UGV_Stereo
  • Projects
  • Experience
  • Blog
    • DeepSpeed + Accelerate
    • 🧠 Memory Definition in LLM Applications
    • Seq2seq Model with Attention
    • How to remotely edit your project without having to use VIM
    • You only look once (YOLO) -- (2)
    • Pooling Layer in CNN (1)
    • SVO相关问题
  • Publications
    • Real time multiple object tracking using deep features and localization information
    • Multiple Object Tracking With Attention to Appearance, Structure, Motion and Size
    • GMC: Grid Based Motion Clustering in Dynamic Environment
    • A consistent and long-term mapping approach for navigation
    • Ultra-wideband aided fast localization and mapping system
    • A hybrid feature parametrization for improving stereo-slam consistency
  • Recent & Upcoming Talks
    • Towards Smarter Deployment Cycle for AI Models under 5G
    • Future Trends in Cloud Computing and IoT
  • Teaching
    • NTU 2024 EE7207 Neural Networks & Deep Learning

Watt

Nov 26, 2023 · 1 min read

Watt is a multi-agent task compiler that connects various real-world APIs. By fostering an executor (workflow automation tool) and a multi-agent orchestrator, it empowers agents to work together seamlessly, tackling complex tasks.

Last updated on Jul 8, 2024
API Tool Workflow
张瀚铎
Authors
张瀚铎
AI Scientist
← Lupan Feb 26, 2024
UGV_Stereo May 20, 2019 →

© 2025 Me. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.