MLOps.community
Podcast autorstwa Demetrios
430 Odcinki
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Data Governance and AI // Alexandra Diem // #212
Opublikowany: 16.02.2024 -
Ads Ranking Evolution at Pinterest // Aayush Mudgal // #211
Opublikowany: 13.02.2024 -
LLM Evaluation with Arize AI's Aparna Dhinakaran // #210
Opublikowany: 9.02.2024 -
Powering MLOps: The Story of Tecton's Rift // Matt Bleifer & Mike Eastham // #209
Opublikowany: 6.02.2024 -
[Exclusive] QuantumBlack Round-table // Gen AI Buy vs Build, Commercial vs Open Source
Opublikowany: 2.02.2024 -
Micro Graph Transformer Powering Small Language Models // Jon Cooke // #208
Opublikowany: 30.01.2024 -
How Data Platforms Affect ML & AI // Jake Watson // #207
Opublikowany: 26.01.2024 -
RAG Has Been Oversimplified // Yujian Tang // #206
Opublikowany: 23.01.2024 -
The Myth of AI Breakthroughs // Jonathan Frankle // #205
Opublikowany: 19.01.2024 -
MLOps at the Crossroads // Patrick Barker & Farhood Etaati // #204
Opublikowany: 16.01.2024 -
Pioneering AI Models for Regional Languages // Aleksa Gordić // #203
Opublikowany: 12.01.2024 -
Small Data, Big Impact: The Story Behind DuckDB // Hannes Mühleisen & Jordan Tigani // #202
Opublikowany: 9.01.2024 -
Language, Graphs, and AI in Industry // Paco Nathan // #201
Opublikowany: 5.01.2024 -
Founding, Funding, and the Future of MLOps // Mihail Eric // #200
Opublikowany: 2.01.2024 -
Challenges Operationalizing ML (And Some Solutions) // Nathan Ryan Frank // #199
Opublikowany: 29.12.2023 -
Inferring Creativity // Nick Hasty // #198
Opublikowany: 26.12.2023 -
The Role of Infrastructure in ML // Niels Bantilan // #197
Opublikowany: 22.12.2023 -
LLMs in Focus: From One-Size Fits All to Verticalized Solutions // Venky Ganti & Laurel Orr // #196
Opublikowany: 19.12.2023 -
[Exclusive] Weights & Biases Round-table // Model Management in a Regulated Environment
Opublikowany: 15.12.2023 -
Building the Future of AI in Software Development // Varun Mohan // #195
Opublikowany: 12.12.2023
Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)