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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

Amir Feizpour

Founder @ Aggregate Intellect

Mykola Burynok

Mykola Burynok

Senior Software Engineer @ Kima Inc.

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