{"podcast":{"title":"MLOps.community","slug":"mlops-community","podcast_index_feed_id":28679,"rss_url":"https://anchor.fm/s/174cb1b8/podcast/rss","website_url":"https://mlops.community","image_url":"https://d3t3ozftmdmh3i.cloudfront.net/production/podcast_uploaded_nologo/3809022/3809022-1612190855115-e91f8b881173f.jpg","author":"Demetrios","episode_count":516,"summary":"Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)","last_synced_at":null,"page_url":"https://stenobird.com/podcast/mlops-community"},"episode":{"title":"Tricks to Fine Tuning // Prithviraj Ammanabrolu // #318","slug":"tricks-to-fine-tuning-prithviraj-ammanabrolu-318","published_at":"2025-06-11T09:40:47+00:00","page_url":"https://stenobird.com/podcast/mlops-community/tricks-to-fine-tuning-prithviraj-ammanabrolu-318","show_page_url":"https://stenobird.com/podcast/mlops-community","url":"https://podcasters.spotify.com/pod/show/mlops/episodes/Tricks-to-Fine-Tuning--Prithviraj-Ammanabrolu--318-e343h5u","audio_url":"https://anchor.fm/s/174cb1b8/podcast/play/103973502/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2025-5-11%2F401967485-44100-2-bedac66e7bd68.mp3","summary":"Tricks to Fine Tuning // MLOps Podcast #318 with Prithviraj Ammanabrolu, Research Scientist at Databricks . Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract Prithviraj Ammanabrolu drops by to break down Tao fine-tuning—a clever way to train models without labeled data. Using reinforcement learning and synthetic data, Tao teaches models to evaluate and improve themselves. Raj explains how this works, where it shines (think small models punching above their weight), and why it could be a game-changer for efficient deployment. // Bio Raj is an Assistant Professor of Computer Science at the University of California, San Diego, leading the PEARLS Lab in the Department of Computer Science and Engineering (CSE). He is also a Research Scientist at Mosaic AI, Databricks, where his team is actively recruiting research scientists and engineers with expertise in reinforcement learning and distributed systems. Previously, he was part of the Mosaic team at the Allen Institute for AI. He earned his PhD in Computer Science from the School of Interactive Computing at Georgia Tech, advised by Professor Mark Riedl in the Entertainment Intelligence Lab. // Related Links Website: https://www.databricks.com/ ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~ Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore Join our Slack community [ https://go.mlops.community/slack ] Follow us on X/Twitter [ @mlopscommunity ]( https://x.com/mlopscommunity ) or [LinkedIn]( https://go.mlops.community/linkedin )] Sign up for the next meetup: [ https://go.mlops.community/register ] MLOps Swag/Merch: [ https://shop.mlops.community/ ] Connect with Demetrios on LinkedIn: /dpbrinkm Connect with Raj on LinkedIn: /…","meta_description":"Tricks to Fine Tuning // MLOps Podcast #318 with Prithviraj Ammanabrolu, Research Scientist at Databricks . Join the Community: https://go.mlops.community…","key_points":[],"chapters":[],"topics":[],"duration_seconds":3241,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/mlops-community/episodes/tricks-to-fine-tuning-prithviraj-ammanabrolu-318/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/mlops-community/tricks-to-fine-tuning-prithviraj-ammanabrolu-318.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}