MLOps.community
A podcast by Demetrios Brinkmann
Categorie:
383 Episodio
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EU AI Act - Navigating New Legislation // Petar Tsankov // MLOps Podcast #271
Pubblicato: 01/11/2024 -
Boosting LLM/RAG Workflows & Scheduling w/ Composable Memory and Checkpointing // Bernie Wu // #270
Pubblicato: 22/10/2024 -
How to Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // #269
Pubblicato: 18/10/2024 -
Exploring the Impact of Agentic Workflows // Raj Rikhy // #268
Pubblicato: 15/10/2024 -
The Only Constant is (Data) Change // Panel // DE4AI
Pubblicato: 11/10/2024 -
The AI Dream Team: Strategies for ML Recruitment and Growth // Jelmer Borst and Daniela Solis // #267
Pubblicato: 09/10/2024 -
Making Your Company LLM-native // Francisco Ingham // #266
Pubblicato: 06/10/2024 -
Unpacking 3 Types of Feature Stores // Simba Khadder // #265
Pubblicato: 01/10/2024 -
Reinvent Yourself and Be Curious // Stefano Bosisio // MLOps Podcast #264
Pubblicato: 27/09/2024 -
Global Feature Store // Gottam Sai Bharath & Cole Bailey // #263
Pubblicato: 24/09/2024 -
RAG Quality Starts with Data Quality // Adam Kamor // #262
Pubblicato: 20/09/2024 -
Who's MLOps for Anyway? // Jonathan Rioux // #261
Pubblicato: 17/09/2024 -
Alignment is Real // Shiva Bhattacharjee // #260
Pubblicato: 13/09/2024 -
Ax a New Way to Build Complex Workflows with LLMs // Vikram Rangnekar // #259
Pubblicato: 11/09/2024 -
Building in Production Human-centred GenAI Solutions // Mohamed Abusaid & Mara Pometti// #177
Pubblicato: 05/09/2024 -
Visualize - Bringing Structure to Unstructured Data // Markus Stoll // #258
Pubblicato: 03/09/2024 -
AI Testing Highlights // Special MLOps Podcast Episode
Pubblicato: 01/09/2024 -
MLSecOps is Fundamental to Robust AISPM // Sean Morgan // #257
Pubblicato: 30/08/2024 -
MLOps for GenAI Applications // Harcharan Kabbay // #256
Pubblicato: 27/08/2024 -
BigQuery Feature Store // Nicolas Mauti // #255
Pubblicato: 23/08/2024
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.