# Machine Learning for Movie Scripts - ML 106 Page: https://stenobird.com/podcast/adventures-in-machine-learning/machine-learning-for-movie-scripts-ml-106 Text version: https://stenobird.com/podcast/adventures-in-machine-learning/machine-learning-for-movie-scripts-ml-106.md Podcast: [Adventures in Machine Learning](https://stenobird.com/podcast/adventures-in-machine-learning) Published: 2023-03-03T11:00:00+00:00 Episode link: https://topenddevs.com/podcasts/adventures-in-machine-learning/episodes/machine-learning-for-movie-scripts-ml-106 Audio file: https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/58842119/stream.mp3 Processing state: failed JSON: https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/machine-learning-for-movie-scripts-ml-106 Duration seconds: 2737 ## Resource Today we look at an applied use case for ML: parsing movie scripts. Expect to learn about bringing ML to new industries, the future of Large Language Models (LLM), and automation in the movie industry. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Links LinkedIn: Ruslan Khamidullin Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy 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/machine-learning-for-movie-scripts-ml-106/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/adventures-in-machine-learning/machine-learning-for-movie-scripts-ml-106.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.