MLOps.community
Podcast autorstwa Demetrios
430 Odcinki
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All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // #245
Opublikowany: 5.07.2024 -
Meta GenAI Infra Blog Review // Special MLOps Podcast
Opublikowany: 3.07.2024 -
AI Agents for Consumers // Shaun Wei // #244
Opublikowany: 28.06.2024 -
ML and AI as Distinct Control Systems in Heavy Industrial Settings // Richard Howes // #243
Opublikowany: 25.06.2024 -
Accelerating Multimodal AI // Ethan Rosenthal // #242
Opublikowany: 21.06.2024 -
Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // Boris Selitser // #241
Opublikowany: 18.06.2024 -
How to Build Production-Ready AI Models for Manufacturing // [Exclusive] LatticeFlow Roundtable
Opublikowany: 14.06.2024 -
From Robotics to Recommender Systems // Miguel Fierro // #240
Opublikowany: 11.06.2024 -
Uber's Michelangelo: Strategic AI Overhaul and Impact // #239
Opublikowany: 7.06.2024 -
AWS Tranium and Inferentia // Kamran Khan and Matthew McClean // #238
Opublikowany: 4.06.2024 -
Build Reliable Systems with Chaos Engineering // Benjamin Wilms // #237
Opublikowany: 31.05.2024 -
Managing Small Knowledge Graphs for Multi-agent Systems // Tom Smoker // #236
Opublikowany: 28.05.2024 -
Just when we Started to Solve Software Docs, AI Blew Everything Up // Dave Nunez // #235
Opublikowany: 27.05.2024 -
Open Standards Make MLOps Easier and Silos Harder // Cody Peterson // #234
Opublikowany: 21.05.2024 -
Retrieval Augmented Generation
Opublikowany: 17.05.2024 -
RecSys at Spotify // Sanket Gupta // #232
Opublikowany: 16.05.2024 -
From A Coding Startup to AI Development in the Enterprise // Ryan Carson // #231
Opublikowany: 10.05.2024 -
FedML Nexus AI: Your Generative AI Platform at Scale // Salman Avestimehr // #230
Opublikowany: 7.05.2024 -
What is AI Quality? // Mohamed Elgendy // #228
Opublikowany: 3.05.2024 -
Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228
Opublikowany: 30.04.2024
Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)
