MLOps.community
A podcast by Demetrios Brinkmann
Categories:
391 Episodes
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Building the Future of AI in Software Development // Varun Mohan // #195
Published: 12/12/2023 -
AI in Education Fireside Chat // LLMs in Production Conference 3
Published: 8/12/2023 -
[Exclusive] Tecton Round-table // Get your ML Application Into Production
Published: 7/12/2023 -
DSPy: Transforming Language Model Calls into Smart Pipelines // Omar Khattab // #194
Published: 5/12/2023 -
Fireside Chat with LLM Startups // LLMs in Production Conference 3
Published: 1/12/2023 -
LLMs in Biomaterials Production // Pierre Salvy // #193
Published: 28/11/2023 -
Product Engineering for LLMs // LLMs in Production Conference Part III // Panel 2
Published: 24/11/2023 -
Enterprises Using MLOps, the Changing LLM Landscape, MLOps Pipelines // Chris Van Pelt // #192
Published: 21/11/2023 -
Building Defensible AI Apps // Gregory Kamradt // #191
Published: 17/11/2023 -
Guarding LLM and NLP APIs: A Trailblazing Odyssey for Enhanced Security // Ads Dawson // #190
Published: 14/11/2023 -
Designing for Forward Compatibility in Gen AI // Rohit Agarwal // #189
Published: 10/11/2023 -
Impact of LLMs on the Tech Stack and Product Development // Anand Das // #188
Published: 7/11/2023 -
Building Effective Products with GenAI // Faizaan Charania // #187
Published: 3/11/2023 -
The Future of Feature Stores and Platforms // Mike Del Balso & Josh Wills // # 186
Published: 31/10/2023 -
Lessons on Data Science Leadership // Luigi Patruno // #185
Published: 27/10/2023 -
Data Platforms in MLOps: Translating Business Goals into Product Decisions // Richa Sachdev // #184
Published: 24/10/2023 -
MLOps vs ML Orchestration // Ketan Umare // #183
Published: 20/10/2023 -
MLOps@GetYourGuide // Jean Machado, Meghana Satish, Olivia Houghton, Theodore Meynard// #182
Published: 20/10/2023 -
The Centralization of Power in AI // Kyle Harrison // # 181
Published: 13/10/2023 -
Adventures in Building CLIP & Other (Largeish) LMs // Sachin Abeywardana // #180
Published: 10/10/2023
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.