Skill issue: stop deploying vision language models, use them with Skills to build e2e vision apps on edge
Official Schedule Context
- Date/time: 2026-06-29 · 11:40am-12:00pm
- Track/room: Vision & OCR · Track 2
- Speaker(s): Merve Noyan
- Session type/status: sponsor · confirmed
Official Description
With the boom of vision language models barrier of entry to build vision apps are much lower so
developers tend to use them right away. However, these models are very large and inefficient in
production. In this talk, I will go through combining vision language models with Skills to build
end-to-end vision apps from training to deployment using HF Skills, on top of showing the state-of-
the-art in small computer vision/multimodal models.
Related YouTube Video
Self-Training Agents: Hermes Agent, HF Traces, Skills, MCP & Finetuning — Merve Noyan, Hugging Face (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.
People
Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.
Supporting Slides
- youtube OV56RddyFuU slides — extracted from the related public AI Engineer video.
Slide Evidence
- Slide-only cropped deck: youtube OV56RddyFuU dense slides (20 viable slide images).
- Related slide/OCR pages:
- youtube OV56RddyFuU dense slides
- youtube OV56RddyFuU reconstructed slides
- youtube OV56RddyFuU slides
- Slide-derived terms:
model,skills,models,gguf,hermes,community,datasets,text,local,llama.cpp,inference,image,search,spaces,jobs,setup,claude,some