Latest episodes
Evaluation Panel // Large Language Models in Production Conference Part 2 // MLOps Podcast # 174
MLOps Community,
FrugalGPT: Better Quality and Lower Cost for LLM Applications // Lingjiao Chen // MLOps Podcast #173
MLOps Community,
Building Products Panel // LLMs in Production Conference part 2 // MLOps Podcast #172
MLOps Community,
Using Large Language Models at AngelList // Thibaut Labarre // MLOps Podcast #171
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All the Hard Stuff with LLMs in Product Development // Phillip Carter // MLOps Podcast #170
MLOps Community,
MLOps at the Age of Generative AI // Barak Turovsky // MLOps Podcast #169
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MLOps is an Extension of DevOps. Not a Fork // Piotr Niedźwiedź // MLOps Podcast #168
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Treating Prompt Engineering More Like Code // Maxime Beauchemin // MLOps Podcast #167
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Eliminating Garbage In/Garbage Out for Analytics and ML // Roy Hasson & Santona Tuli // MLOps Podcast #166
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How Daft Embeds Models and Revolutionizes Data Processing // Sammy Sidhu // MLOps Podcast #165
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Open Source and Fast Decision Making // Rob Hirschfeld // MLOps Podcast #164
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Democratizing AI // Yujian Tang // MLOps Podcast #163
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From Arduinos to LLMs: Exploring the Spectrum of ML // Soham Chatterjee // MLOps Podcast #162
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he Long Tail of ML Deployment // Tuhin Srivastava // MLOps Podcast #161
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Clean Code for Data Scientists // Matt Sharp // MLOps Podcast # 160
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Why is MLOps Hard in an Enterprise? // Maria Vechtomova & Basak Eskili // MLOps Podcast #159
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Large Language Model at Scale // Nils Reimers // MLOps Podcast #158
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Data Privacy and Security // LLMs in Production Conference Panel Discussion 1
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MLOps Build or Buy, Startup vs. Enterprise? // Aaron Maurer & Katrina Ni // MLOps Podcast # 157
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Cost/Performance Optimization with LLMs [Panel]
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Machine Learning Education at Uber // Melissa Barr & Michael Mui // MLOps Podcast #154
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The Birth and Growth of Spark: An Open Source Success Story // Matei Zaharia // MLOps Podcast #155
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ML Scalability Challenges // Waleed Kadous // MLOps Podcast # 154
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[EXCLUSIVE EPISODE!] LLM Key Results
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Multilingual Programming and a Project Structure to Enable It // Rodolfo Núñez // MLOps Podcast #153
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[Bonus Episode] Practical AI x MLOps // Demetrios Brinkmann, Mihail Eric, Daniel Whitenack and Chris Benson
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How A Manager Became a Believer in DevOps for Machine Learning // Keith Trnka // MLOps Podcast #152
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ML in Production: A DS from Ubisoft Perspective // Jean-Michel Daignan // MLOps Podcast #151
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Large Language Models in Production Round-table Conversation
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