MLOps.community
A podcast by Demetrios
430 Episodio
-
AI in Education Fireside Chat // LLMs in Production Conference 3
Pubblicato: 08/12/2023 -
[Exclusive] Tecton Round-table // Get your ML Application Into Production
Pubblicato: 07/12/2023 -
DSPy: Transforming Language Model Calls into Smart Pipelines // Omar Khattab // #194
Pubblicato: 05/12/2023 -
Fireside Chat with LLM Startups // LLMs in Production Conference 3
Pubblicato: 01/12/2023 -
LLMs in Biomaterials Production // Pierre Salvy // #193
Pubblicato: 28/11/2023 -
Product Engineering for LLMs // LLMs in Production Conference Part III // Panel 2
Pubblicato: 24/11/2023 -
Enterprises Using MLOps, the Changing LLM Landscape, MLOps Pipelines // Chris Van Pelt // #192
Pubblicato: 21/11/2023 -
Building Defensible AI Apps // Gregory Kamradt // #191
Pubblicato: 17/11/2023 -
Guarding LLM and NLP APIs: A Trailblazing Odyssey for Enhanced Security // Ads Dawson // #190
Pubblicato: 14/11/2023 -
Designing for Forward Compatibility in Gen AI // Rohit Agarwal // #189
Pubblicato: 10/11/2023 -
Impact of LLMs on the Tech Stack and Product Development // Anand Das // #188
Pubblicato: 07/11/2023 -
Building Effective Products with GenAI // Faizaan Charania // #187
Pubblicato: 03/11/2023 -
The Future of Feature Stores and Platforms // Mike Del Balso & Josh Wills // # 186
Pubblicato: 31/10/2023 -
Lessons on Data Science Leadership // Luigi Patruno // #185
Pubblicato: 27/10/2023 -
Data Platforms in MLOps: Translating Business Goals into Product Decisions // Richa Sachdev // #184
Pubblicato: 24/10/2023 -
MLOps vs ML Orchestration // Ketan Umare // #183
Pubblicato: 20/10/2023 -
MLOps@GetYourGuide // Jean Machado, Meghana Satish, Olivia Houghton, Theodore Meynard// #182
Pubblicato: 20/10/2023 -
The Centralization of Power in AI // Kyle Harrison // # 181
Pubblicato: 13/10/2023 -
Adventures in Building CLIP & Other (Largeish) LMs // Sachin Abeywardana // #180
Pubblicato: 10/10/2023 -
All About Evaluating LLM Applications // Shahul Es // #179
Pubblicato: 06/10/2023
Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)