MLOps.community
A podcast by Demetrios

Categories:
426 Episodes
-
LLMs in Biomaterials Production // Pierre Salvy // #193
Published: 11/28/2023 -
Product Engineering for LLMs // LLMs in Production Conference Part III // Panel 2
Published: 11/24/2023 -
Enterprises Using MLOps, the Changing LLM Landscape, MLOps Pipelines // Chris Van Pelt // #192
Published: 11/21/2023 -
Building Defensible AI Apps // Gregory Kamradt // #191
Published: 11/17/2023 -
Guarding LLM and NLP APIs: A Trailblazing Odyssey for Enhanced Security // Ads Dawson // #190
Published: 11/14/2023 -
Designing for Forward Compatibility in Gen AI // Rohit Agarwal // #189
Published: 11/10/2023 -
Impact of LLMs on the Tech Stack and Product Development // Anand Das // #188
Published: 11/7/2023 -
Building Effective Products with GenAI // Faizaan Charania // #187
Published: 11/3/2023 -
The Future of Feature Stores and Platforms // Mike Del Balso & Josh Wills // # 186
Published: 10/31/2023 -
Lessons on Data Science Leadership // Luigi Patruno // #185
Published: 10/27/2023 -
Data Platforms in MLOps: Translating Business Goals into Product Decisions // Richa Sachdev // #184
Published: 10/24/2023 -
MLOps vs ML Orchestration // Ketan Umare // #183
Published: 10/20/2023 -
MLOps@GetYourGuide // Jean Machado, Meghana Satish, Olivia Houghton, Theodore Meynard// #182
Published: 10/20/2023 -
The Centralization of Power in AI // Kyle Harrison // # 181
Published: 10/13/2023 -
Adventures in Building CLIP & Other (Largeish) LMs // Sachin Abeywardana // #180
Published: 10/10/2023 -
All About Evaluating LLM Applications // Shahul Es // #179
Published: 10/6/2023 -
Building an ML Platform: Insights, Community, and Advocacy // Stephen Batifol // #178
Published: 10/3/2023 -
Empowering Employees // Mohamed Abusaid and Mara Pometti // MLOps Podcast # 177
Published: 9/26/2023 -
Collaboration and Strategy // Vin Vashishta // #176
Published: 9/18/2023 -
Ux of an LLM User Panel // LLMs in Production Conference Part II
Published: 9/15/2023
Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.