MLOps.community
A podcast by Demetrios Brinkmann
Categorie:
383 Episodio
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From Robotics to Recommender Systems // Miguel Fierro // #240
Pubblicato: 11/06/2024 -
Uber's Michelangelo: Strategic AI Overhaul and Impact // #239
Pubblicato: 07/06/2024 -
AWS Tranium and Inferentia // Kamran Khan and Matthew McClean // #238
Pubblicato: 04/06/2024 -
Build Reliable Systems with Chaos Engineering // Benjamin Wilms // #237
Pubblicato: 31/05/2024 -
Managing Small Knowledge Graphs for Multi-agent Systems // Tom Smoker // #236
Pubblicato: 28/05/2024 -
Just when we Started to Solve Software Docs, AI Blew Everything Up // Dave Nunez // #235
Pubblicato: 27/05/2024 -
Open Standards Make MLOps Easier and Silos Harder // Cody Peterson // #234
Pubblicato: 21/05/2024 -
Retrieval Augmented Generation
Pubblicato: 17/05/2024 -
RecSys at Spotify // Sanket Gupta // #232
Pubblicato: 16/05/2024 -
From A Coding Startup to AI Development in the Enterprise // Ryan Carson // #231
Pubblicato: 10/05/2024 -
FedML Nexus AI: Your Generative AI Platform at Scale // Salman Avestimehr // #230
Pubblicato: 07/05/2024 -
What is AI Quality? // Mohamed Elgendy // #228
Pubblicato: 03/05/2024 -
Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228
Pubblicato: 30/04/2024 -
Leading Enterprise Data Teams // Sol Rashidi // #227
Pubblicato: 26/04/2024 -
The Rise of Modern Data Management // Chad Sanderson // #226
Pubblicato: 23/04/2024 -
Beyond AGI, Can AI Help Save the Planet? // Patrick Beukema // #225
Pubblicato: 19/04/2024 -
GenAI in Production - Challenges and Trends // Verena Weber // #224
Pubblicato: 17/04/2024 -
Introducing DBRX: The Future of Language Models // [Exclusive] Databricks Roundtable
Pubblicato: 12/04/2024 -
From MVP to Production // AI in Production Conference
Pubblicato: 09/04/2024 -
Data Engineering in the Federal Sector // Shane Morris // #223
Pubblicato: 05/04/2024
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.