MLOps.community
A podcast by Demetrios

Categories:
426 Episodes
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Look At Your ****ing Data 👀 // Kenny Daniel // #292
Published: 18/02/2025 -
Evolving Workflow Orchestration // Alex Milowski // #291
Published: 14/02/2025 -
Insights from Cleric: Building an Autonomous AI SRE // Willem Pienaar // #290
Published: 11/02/2025 -
Robustness, Detectability, and Data Privacy in AI // Vinu Sankar Sadasivan // #289
Published: 7/02/2025 -
AI & Aliens: New Eyes on Ancient Questions // Richard Cloete // #288
Published: 4/02/2025 -
Real LLM Success Stories: How They Actually Work // Alex Strick van Linschoten // #287
Published: 31/01/2025 -
Navigating Machine Learning Careers: Insights from Meta to Consulting // Ilya Reznik // #286
Published: 27/01/2025 -
Collective Memory for AI on Decentralized Knowledge Graph // Tomaž Levak // #285
Published: 24/01/2025 -
Efficient Deployment of Models at the Edge // Krishna Sridhar // #284
Published: 17/01/2025 -
Real World AI Agent Stories // Zach Wallace // #283
Published: 15/01/2025 -
Machine Learning, AI Agents, and Autonomy // Egor Kraev // #282
Published: 8/01/2025 -
Re-Platforming Your Tech Stack // Michelle Marie Conway & Andrew Baker // #281
Published: 3/01/2025 -
Holistic Evaluation of Generative AI Systems // Jineet Doshi // #280
Published: 23/12/2024 -
Unleashing Unconstrained News Knowledge Graphs to Combat Misinformation // Robert Caulk // #279
Published: 20/12/2024 -
LLM Distillation and Compression // Guanhua Wang // #278
Published: 17/12/2024 -
AI's Next Frontier // Aditya Naganath // #277
Published: 11/12/2024 -
PyTorch for Control Systems and Decision Making // Vincent Moens // #276
Published: 4/12/2024 -
AI-Driven Code: Navigating Due Diligence & Transparency in MLOps // Matt van Itallie // #275
Published: 29/11/2024 -
PyTorch's Combined Effort in Large Model Optimization // Michael Gschwind // #274
Published: 26/11/2024 -
LLMs to agents: The Beauty & Perils of Investing in GenAI // VC Panel // Agents in Production
Published: 22/11/2024
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.