MLOps.community
A podcast by Demetrios Brinkmann
Categorie:
383 Episodio
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What Business Stakeholders Want to See from the ML Teams // Peter Guagenti // #222
Pubblicato: 02/04/2024 -
MLOps - Design Thinking to Build ML Infra for ML and LLM Use Cases // Amritha Arun Babu & Abhik Choudhury // #221
Pubblicato: 29/03/2024 -
4 Years of the MLOps Community // Demetrios Brinkmann // #220
Pubblicato: 26/03/2024 -
The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // #219
Pubblicato: 22/03/2024 -
Security and Privacy // Day 2 Panel 1 // AI in Production Conference
Pubblicato: 19/03/2024 -
[Exclusive] Zilliz Roundtable // Why Purpose-built Vector Databases Matter for Your Use Case
Pubblicato: 15/03/2024 -
A Decade of AI Safety and Trust // Petar Tsankov // MLOps Podcast #218
Pubblicato: 12/03/2024 -
The Real E2E RAG Stack // Sam Bean, Rewind AI // #217
Pubblicato: 08/03/2024 -
Managing Data for Effective GenAI Application // Anu Arora and Anass Bensrhir // #215
Pubblicato: 05/03/2024 -
Becoming an AI Evangelist // Alex Volkov // #215
Pubblicato: 01/03/2024 -
LLM Use Cases in Production // AI in Production Conference // Panel 1
Pubblicato: 28/02/2024 -
Information Retrieval & Relevance // Daniel Svonava // #214
Pubblicato: 24/02/2024 -
Evaluating and Integrating ML Models // Morgan McGuire and Anish Shah // #213
Pubblicato: 21/02/2024 -
Data Governance and AI // Alexandra Diem // #212
Pubblicato: 16/02/2024 -
Ads Ranking Evolution at Pinterest // Aayush Mudgal // #211
Pubblicato: 13/02/2024 -
LLM Evaluation with Arize AI's Aparna Dhinakaran // #210
Pubblicato: 09/02/2024 -
Powering MLOps: The Story of Tecton's Rift // Matt Bleifer & Mike Eastham // #209
Pubblicato: 06/02/2024 -
[Exclusive] QuantumBlack Round-table // Gen AI Buy vs Build, Commercial vs Open Source
Pubblicato: 02/02/2024 -
Micro Graph Transformer Powering Small Language Models // Jon Cooke // #208
Pubblicato: 30/01/2024 -
How Data Platforms Affect ML & AI // Jake Watson // #207
Pubblicato: 26/01/2024
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.
