MLOps.community
En podcast af Demetrios Brinkmann
Kategorier:
383 Episoder
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From Robotics to Recommender Systems // Miguel Fierro // #240
Udgivet: 11.6.2024 -
Uber's Michelangelo: Strategic AI Overhaul and Impact // #239
Udgivet: 7.6.2024 -
AWS Tranium and Inferentia // Kamran Khan and Matthew McClean // #238
Udgivet: 4.6.2024 -
Build Reliable Systems with Chaos Engineering // Benjamin Wilms // #237
Udgivet: 31.5.2024 -
Managing Small Knowledge Graphs for Multi-agent Systems // Tom Smoker // #236
Udgivet: 28.5.2024 -
Just when we Started to Solve Software Docs, AI Blew Everything Up // Dave Nunez // #235
Udgivet: 27.5.2024 -
Open Standards Make MLOps Easier and Silos Harder // Cody Peterson // #234
Udgivet: 21.5.2024 -
Retrieval Augmented Generation
Udgivet: 17.5.2024 -
RecSys at Spotify // Sanket Gupta // #232
Udgivet: 16.5.2024 -
From A Coding Startup to AI Development in the Enterprise // Ryan Carson // #231
Udgivet: 10.5.2024 -
FedML Nexus AI: Your Generative AI Platform at Scale // Salman Avestimehr // #230
Udgivet: 7.5.2024 -
What is AI Quality? // Mohamed Elgendy // #228
Udgivet: 3.5.2024 -
Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228
Udgivet: 30.4.2024 -
Leading Enterprise Data Teams // Sol Rashidi // #227
Udgivet: 26.4.2024 -
The Rise of Modern Data Management // Chad Sanderson // #226
Udgivet: 23.4.2024 -
Beyond AGI, Can AI Help Save the Planet? // Patrick Beukema // #225
Udgivet: 19.4.2024 -
GenAI in Production - Challenges and Trends // Verena Weber // #224
Udgivet: 17.4.2024 -
Introducing DBRX: The Future of Language Models // [Exclusive] Databricks Roundtable
Udgivet: 12.4.2024 -
From MVP to Production // AI in Production Conference
Udgivet: 9.4.2024 -
Data Engineering in the Federal Sector // Shane Morris // #223
Udgivet: 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.
