MLOps.community
A podcast by Demetrios
430 Episodes
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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 -
[Exclusive] QuantumBlack Round-table // Gen AI Buy vs Build, Commercial vs Open Source
Published: 2/2/2024 -
Micro Graph Transformer Powering Small Language Models // Jon Cooke // #208
Published: 1/30/2024 -
How Data Platforms Affect ML & AI // Jake Watson // #207
Published: 1/26/2024 -
RAG Has Been Oversimplified // Yujian Tang // #206
Published: 1/23/2024 -
The Myth of AI Breakthroughs // Jonathan Frankle // #205
Published: 1/19/2024 -
MLOps at the Crossroads // Patrick Barker & Farhood Etaati // #204
Published: 1/16/2024 -
Pioneering AI Models for Regional Languages // Aleksa Gordić // #203
Published: 1/12/2024 -
Small Data, Big Impact: The Story Behind DuckDB // Hannes Mühleisen & Jordan Tigani // #202
Published: 1/9/2024 -
Language, Graphs, and AI in Industry // Paco Nathan // #201
Published: 1/5/2024 -
Founding, Funding, and the Future of MLOps // Mihail Eric // #200
Published: 1/2/2024 -
Challenges Operationalizing ML (And Some Solutions) // Nathan Ryan Frank // #199
Published: 12/29/2023 -
Inferring Creativity // Nick Hasty // #198
Published: 12/26/2023 -
The Role of Infrastructure in ML // Niels Bantilan // #197
Published: 12/22/2023 -
LLMs in Focus: From One-Size Fits All to Verticalized Solutions // Venky Ganti & Laurel Orr // #196
Published: 12/19/2023 -
[Exclusive] Weights & Biases Round-table // Model Management in a Regulated Environment
Published: 12/15/2023 -
Building the Future of AI in Software Development // Varun Mohan // #195
Published: 12/12/2023
Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)