Mudith Jayasekara

Head of Model Training, Baseten

Mudith Jayasekara is Head of Model Training at Baseten and Cofounder of Parsed, acquired by Baseten. He works on post-training, distillation, and what it takes to serve and scale custom models.

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Agent Infrastructure

The runtime substrate for AI agents: the machine an agent runs on, sandboxes and isolation, agent memory and learning, durable execution and harness design, and the performance and cost of running agents. Drawn from practitioners at exe.dev, Daytona, Letta, Glean, and others.

David Crawshaw, Joseph Ruscio, Ivan Burazin and 15 more

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Oct 26, 2026

Video

Harness vs. Model: Where Specialization Belongs

As agentic systems reach production, teams keep hitting the same fork: push capability into the model through post-training, or into the harness through orchestration, retrieval, and tool use. Panelists from Generationship, Baseten, Fireworks AI, and Paper Compute weigh when fine-tuning pays off, how to choose between open and closed models, and what it takes to serve custom models.

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Mudith Jayasekara

Skills

Agent Infrastructure

Content from the Library

Harness vs. Model: Where Specialization Belongs

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