MLOps.community
A podcast by Demetrios

Categories:
426 Episodes
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Introducing DBRX: The Future of Language Models // [Exclusive] Databricks Roundtable
Published: 4/12/2024 -
From MVP to Production // AI in Production Conference
Published: 4/9/2024 -
Data Engineering in the Federal Sector // Shane Morris // #223
Published: 4/5/2024 -
What Business Stakeholders Want to See from the ML Teams // Peter Guagenti // #222
Published: 4/2/2024 -
MLOps - Design Thinking to Build ML Infra for ML and LLM Use Cases // Amritha Arun Babu & Abhik Choudhury // #221
Published: 3/29/2024 -
4 Years of the MLOps Community // Demetrios Brinkmann // #220
Published: 3/26/2024 -
The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // #219
Published: 3/22/2024 -
Security and Privacy // Day 2 Panel 1 // AI in Production Conference
Published: 3/19/2024 -
[Exclusive] Zilliz Roundtable // Why Purpose-built Vector Databases Matter for Your Use Case
Published: 3/15/2024 -
A Decade of AI Safety and Trust // Petar Tsankov // MLOps Podcast #218
Published: 3/12/2024 -
The Real E2E RAG Stack // Sam Bean, Rewind AI // #217
Published: 3/8/2024 -
Managing Data for Effective GenAI Application // Anu Arora and Anass Bensrhir // #215
Published: 3/5/2024 -
Becoming an AI Evangelist // Alex Volkov // #215
Published: 3/1/2024 -
LLM Use Cases in Production // AI in Production Conference // Panel 1
Published: 2/28/2024 -
Information Retrieval & Relevance // Daniel Svonava // #214
Published: 2/24/2024 -
Evaluating and Integrating ML Models // Morgan McGuire and Anish Shah // #213
Published: 2/21/2024 -
Data Governance and AI // Alexandra Diem // #212
Published: 2/16/2024 -
Ads Ranking Evolution at Pinterest // Aayush Mudgal // #211
Published: 2/13/2024 -
LLM Evaluation with Arize AI's Aparna Dhinakaran // #210
Published: 2/9/2024 -
Powering MLOps: The Story of Tecton's Rift // Matt Bleifer & Mike Eastham // #209
Published: 2/6/2024
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.