MLOps.community
Un pódcast de Demetrios Brinkmann
Categorías:
383 Episodo
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From Robotics to Recommender Systems // Miguel Fierro // #240
Publicado: 11/6/2024 -
Uber's Michelangelo: Strategic AI Overhaul and Impact // #239
Publicado: 7/6/2024 -
AWS Tranium and Inferentia // Kamran Khan and Matthew McClean // #238
Publicado: 4/6/2024 -
Build Reliable Systems with Chaos Engineering // Benjamin Wilms // #237
Publicado: 31/5/2024 -
Managing Small Knowledge Graphs for Multi-agent Systems // Tom Smoker // #236
Publicado: 28/5/2024 -
Just when we Started to Solve Software Docs, AI Blew Everything Up // Dave Nunez // #235
Publicado: 27/5/2024 -
Open Standards Make MLOps Easier and Silos Harder // Cody Peterson // #234
Publicado: 21/5/2024 -
Retrieval Augmented Generation
Publicado: 17/5/2024 -
RecSys at Spotify // Sanket Gupta // #232
Publicado: 16/5/2024 -
From A Coding Startup to AI Development in the Enterprise // Ryan Carson // #231
Publicado: 10/5/2024 -
FedML Nexus AI: Your Generative AI Platform at Scale // Salman Avestimehr // #230
Publicado: 7/5/2024 -
What is AI Quality? // Mohamed Elgendy // #228
Publicado: 3/5/2024 -
Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228
Publicado: 30/4/2024 -
Leading Enterprise Data Teams // Sol Rashidi // #227
Publicado: 26/4/2024 -
The Rise of Modern Data Management // Chad Sanderson // #226
Publicado: 23/4/2024 -
Beyond AGI, Can AI Help Save the Planet? // Patrick Beukema // #225
Publicado: 19/4/2024 -
GenAI in Production - Challenges and Trends // Verena Weber // #224
Publicado: 17/4/2024 -
Introducing DBRX: The Future of Language Models // [Exclusive] Databricks Roundtable
Publicado: 12/4/2024 -
From MVP to Production // AI in Production Conference
Publicado: 9/4/2024 -
Data Engineering in the Federal Sector // Shane Morris // #223
Publicado: 5/4/2024
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.
