MLOps.community
A podcast by Demetrios Brinkmann
Categorie:
383 Episodio
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Design and Development Principles for LLMOps // Andy McMahon // #254
Pubblicato: 20/08/2024 -
Data Quality = Quality AI // AIQCON Panel
Pubblicato: 16/08/2024 -
The Variational Book // Yuri Plotkin // #253
Pubblicato: 13/08/2024 -
Vision and Strategies for Attracting & Driving AI Talents in High Growth // Panel // AIQCON
Pubblicato: 09/08/2024 -
Red Teaming LLMs // Ron Heichman // #252
Pubblicato: 06/08/2024 -
Balancing Speed and Safety // Panel // AIQCON
Pubblicato: 02/08/2024 -
Reliable LLM Products, Fueled by Feedback // Chinar Movsisyan // #251
Pubblicato: 30/07/2024 -
A Blueprint for Scalable & Reliable Enterprise AI/ML Systems // Panel // AIQCON
Pubblicato: 26/07/2024 -
AI Operations Without Fundamental Engineering Discipline // Nikhil Suresh // #250
Pubblicato: 23/07/2024 -
AI in Healthcare // Eric Landry // #249
Pubblicato: 19/07/2024 -
Evaluating the Effectiveness of Large Language Models: Challenges and Insights // Aniket Singh // #248
Pubblicato: 16/07/2024 -
Extending AI: From Industry to Innovation // Sophia Rowland & David Weik // #246
Pubblicato: 12/07/2024 -
Detecting Harmful Content at Scale // Matar Haller // #245
Pubblicato: 09/07/2024 -
All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // #245
Pubblicato: 05/07/2024 -
Meta GenAI Infra Blog Review // Special MLOps Podcast
Pubblicato: 03/07/2024 -
AI Agents for Consumers // Shaun Wei // #244
Pubblicato: 28/06/2024 -
ML and AI as Distinct Control Systems in Heavy Industrial Settings // Richard Howes // #243
Pubblicato: 25/06/2024 -
Accelerating Multimodal AI // Ethan Rosenthal // #242
Pubblicato: 21/06/2024 -
Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // Boris Selitser // #241
Pubblicato: 18/06/2024 -
How to Build Production-Ready AI Models for Manufacturing // [Exclusive] LatticeFlow Roundtable
Pubblicato: 14/06/2024
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.
