# Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148

Page: https://stenobird.com/podcast/adventures-in-machine-learning/harnessing-open-source-contributions-in-machine-learning-and-quantization-ml-148
Text version: https://stenobird.com/podcast/adventures-in-machine-learning/harnessing-open-source-contributions-in-machine-learning-and-quantization-ml-148.md
Podcast: [Adventures in Machine Learning](https://stenobird.com/podcast/adventures-in-machine-learning)
Published: 2024-04-18T10:00:00+00:00
Episode link: https://www.spreaker.com/episode/harnessing-open-source-contributions-in-machine-learning-and-quantization-ml-148--59580260
Audio file: https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/59580260/ml_148.mp3
Processing state: failed
JSON: https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/harnessing-open-source-contributions-in-machine-learning-and-quantization-ml-148
Duration seconds: 4569

## Resource

Lukas Geiger is a Deep Learning Scientist, open-source developer, and an astroparticle physicist. He shares his experience using machine learning to analyze cosmic ray particles and detect secondary particles. We explore the challenges and opportunities of open source as a business model, the potential of models for edge computing, and the importance of understanding open-source code. Join us as we delve into the intersection of physics, machine learning, and the intricate world of software development. Sponsors Chuck's Resume Template Developer Book Club Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Lukas Geiger Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .

## Actions

- request_transcript: `POST https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/harnessing-open-source-contributions-in-machine-learning-and-quantization-ml-148/transcription-requests` — Idempotently request low-priority transcript generation for this episode.
- read_markdown: `GET https://stenobird.com/podcast/adventures-in-machine-learning/harnessing-open-source-contributions-in-machine-learning-and-quantization-ml-148.md` — Read the agent-friendly Markdown representation of this episode resource.

A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed.

## Transcript

Full transcripts are not published on public pages unless there is a clear rights basis.