Python vs go in AI

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[Exclusive] Weights & Biases Round-table // Model Management in a Regulated Environment

MLOps.community

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LLMs in Focus: From One-Size Fits All to Verticalized Solutions // Venky Ganti & Laurel Orr // #196

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Data Wrangling and AI Transformation // Venky Ganti & Laurel Orr // MLOps Podcast #196 clip

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The Role of Infrastructure in ML Leveraging Open Source // Niels Bantilan // MLOps Podcast #197

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Inferring Creativity // Nick Hasty // MLOps Podcast #198

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Challenges Operationalizing ML (And Some Solutions) // Nathan Ryan Frank // MLOps Podcast #199

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Founding, Funding, and the Future of MLOps // Mihail Eric // MLOps Podcast #200

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Evolution of ML Engineering and Automation // Niels Bantilan // MLOps Podcast clip #197

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Evaluating Tech Tools for Product Development // Nick Hasty // MLOps Podcast #198 clip

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Language, Graphs, and AI in Industry // Paco Nathan // MLOps Podcast #201

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Small Data, Big Impact: The Story Behind DuckDB // Hannes Mühleisen & Jordan Tigani // Podcast #202

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Practical Approach to ML and AI System Design // Nathan Ryan Frank // MLOps Podcast #199 clip

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The Future of Visual Generative AI Development // Mihail Eric // MLOps Podcast #200 clip

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Pioneering AI Models for Regional Languages // Aleksa Gordić // MLOps Podcast #203

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MLOps at the Crossroads // Patrick Barker & Farhood Etaati // MLOps Podcast #204

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The Myth of AI Breakthroughs // Jonathan Frankle // MLOps Podcast #205

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PDF Parsing and Value Chain Analysis // Paco Nathan // MLOps Podcast #201 clip

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RAG Has Been Oversimplified // Yujian Tang // MLOps Podcast #206

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Challenging Big Data Assumptions // Hannes Mühleisen & Jordan Tigani // MLOps Podcast #202 clip

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Evaluating AI Models and Building Societal Trust // Aleksa Gordić // MLOps Podcast #203 clip

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How Data Platforms Affect ML & AI // Jake Watson // MLOps Podcast #207

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Micro Graph Transformer Powering Small Language Models // Jon Cooke // MLOps Podcast #208

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Implications of Gen AI: ML 1.0's Future? // Patrick Barker & Farhood Etaati // Podcast #204 clip

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[Exclusive] QuantumBlack Round-table // Gen AI Buy vs Build, Commercial vs Open Source

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Lightweight Feature Platform // Matt Bleifer & Mike Eastham // MLOps Podcast #209

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The Realistic Approach to MLOps // Jonathan Frankle // MLOps Podcast clip #205

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Mitigating LLM hallucinations paper breakdown

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LLM Evaluation with Arize AI's Aparna Dhinakaran // MLOps Podcast #210

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Ads Ranking Evolution at Pinterest // Aayush Mudgal // MLOps Podcast #211

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Prompt Templates the Song

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DSPy: Understanding Stacking and Chaining Networks in Language Models // Omar Khattab

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Data Governance and AI // Alexandra Diem // MLOps Podcast #212

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The AI Engineer Song

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Evaluating and Integrating ML Models // Morgan McGuire and Anish Shah // MLOps Podcast #213

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Information Retrieval & Relevance // Daniel Svonava // MLOps Podcast #214

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LLM Use Cases in Production // AI in Production Conference // Panel 1

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A Survey of Production RAG Pain Points and Solutions // Jerry Liu // AI in Production Conference

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Becoming an AI Evangelist // Alex Volkov // MLOps Podcast #215

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Managing Data for Effective GenAI Application // Anu Arora and Anass Bensrhir // MLOps Podcast #216

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Tecton's Approach to Scaling Data Aggregations // Mike Eastham // MLOps podcast #209 clip

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The Real E2E RAG Stack // Sam Bean // MLOps Podcast #217

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A Decade of AI Safety and Trust // Petar Tsankov // MLOps Podcast #218

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LLM Applications & Outcome Evaluation in the New Era // Aparna Dhinakaran // MLOps Podcast #210 clip

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Language Processing, Recommendations, System Integration // Aayush Mugdal // MLOps Podcast #211 clip

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[Exclusive] Zilliz Roundtable // Why Purpose-built Vector Databases Matter for Your Use Case

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Model Merging and Mixtures of Experts // Maxime Labonne // AI in Production Conference

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Security and Privacy // Day 2 Panel 1 // AI in Production Conference

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Hypothesis Testing and Stakeholder Collaboration // Alexandra Diem // MLOps Podcast #212 clip

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Kubecon Shirt Compliment Challenge

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The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // MLOps Podcast #219

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Getting 50 people to comment on my shirt at Kubecon

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4 Years of the MLOps Community // Demetrios Brinkmann // MLOps Podcast #220

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Expressing Data Desires through Vectors // Daniel Svonava // MLOps podcast #214 clip

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Anatomy of a Software 3.0 Company // Sarah Guo // AI in Production Keynote

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Building the Next Generation of Reliable AI // Shreya Rajpal // AI in Production Keynote

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Designing ML Infra for ML & LLM Use Cases // Amritha Arun Babu & Abhik Choudhury // Podcast #221

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What Business Stakeholders Want to See from the ML Teams // Peter Guagenti // MLOps Podcast #222

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From Chatbot Creation to Ingestion Pipelines // Alex Volkov // MLOps Podcast #215 clip

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Considerations of Data Quality // Anu Arora and Anass Bensrhir // MLOps podcast #216 clip

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Charting LLMOps Odyssey // Yinxi Zhang @ Databricks // AI in Production Talk

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