Why Large? Tiny LMs & Agents on Edge/Robotics

Official Schedule Context

Official Description

big models get a lot of press. small model scale much better. RAM is expensive. The real world needs

tiny models for scale on the edge. This workshop will cover how to combine both for mobile and

robotics deployment. specifically covering: - skills are different on mobile - tiny LLMs <1B scale

much further on mobile/web - how to fine tune and train tiny models. - skills on robotics / edge/

mobile - latest open models for edge (including gemma, qwen, and anything else that happens in next

10 weeks) This talk will focus on open models, including some gemma variants that will be shortly

announced.

Related YouTube Video

From 46% to 90%: Fine-Tuning Tiny LLMs for On-Device Agents — Cormac Brick, Google (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

Transcript Status

Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.

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