Free Lesson
Exploring Open-Source Multi-Agent Frameworks for ML Research
45 min
May 23, 2025 12:00 PM
Virtual (Zoom)
In this video
What you'll learn
Automating ML research workflows
Steps towards automating ML research workflows with open-source multi-agent architectures
Generating complex technical documents
Produce peer-review-ready documentation with minimal human input
Orchestrating multiple agents from different frameworks
Tackle the integration of building blocks from diverse multi-agent frameworks
Why this topic matters
We explore how open-source multi-agent frameworks can support ML research workflows by automating key stages, from data processing to model development and reporting. We'll showcase task-specific agents designed for planning, development, and validation phases, each contributing to peer-review-ready documentation with minimal human input, and importantly will talk about the integration challenges.
You'll learn from

Amir Feizpour
Founder @ Aggregate Intellect

Mykola Burynok
Senior Software Engineer @ Kima Inc.
