MLOps.community
En podkast av Demetrios Brinkmann
Kategorier:
379 Episoder
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Managing Small Knowledge Graphs for Multi-agent Systems // Tom Smoker // #236
Publisert: 28.5.2024 -
Just when we Started to Solve Software Docs, AI Blew Everything Up // Dave Nunez // #235
Publisert: 27.5.2024 -
Open Standards Make MLOps Easier and Silos Harder // Cody Peterson // #234
Publisert: 21.5.2024 -
Retrieval Augmented Generation
Publisert: 17.5.2024 -
RecSys at Spotify // Sanket Gupta // #232
Publisert: 16.5.2024 -
From A Coding Startup to AI Development in the Enterprise // Ryan Carson // #231
Publisert: 10.5.2024 -
FedML Nexus AI: Your Generative AI Platform at Scale // Salman Avestimehr // #230
Publisert: 7.5.2024 -
What is AI Quality? // Mohamed Elgendy // #228
Publisert: 3.5.2024 -
Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228
Publisert: 30.4.2024 -
Leading Enterprise Data Teams // Sol Rashidi // #227
Publisert: 26.4.2024 -
The Rise of Modern Data Management // Chad Sanderson // #226
Publisert: 23.4.2024 -
Beyond AGI, Can AI Help Save the Planet? // Patrick Beukema // #225
Publisert: 19.4.2024 -
GenAI in Production - Challenges and Trends // Verena Weber // #224
Publisert: 17.4.2024 -
Introducing DBRX: The Future of Language Models // [Exclusive] Databricks Roundtable
Publisert: 12.4.2024 -
From MVP to Production // AI in Production Conference
Publisert: 9.4.2024 -
Data Engineering in the Federal Sector // Shane Morris // #223
Publisert: 5.4.2024 -
What Business Stakeholders Want to See from the ML Teams // Peter Guagenti // #222
Publisert: 2.4.2024 -
MLOps - Design Thinking to Build ML Infra for ML and LLM Use Cases // Amritha Arun Babu & Abhik Choudhury // #221
Publisert: 29.3.2024 -
4 Years of the MLOps Community // Demetrios Brinkmann // #220
Publisert: 26.3.2024 -
The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // #219
Publisert: 22.3.2024
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.