Beginner Lessons

AB Testing for Optimal ROI // Miguel Fierro // MLOps Podcast #240 clip

Understanding Trainium and Inferentia // Kamran Khan and Matthew McClean // MLOps podcast #238 clip

The Role of Knowledge Graphs in Enhancing AI Determinism // Tom Smoker // MLOps podcast #236 clip

Fresh Data, Smart Retrieval: Milvus & Jina CLIP Explained // MLOps Mini Summit #7

Essential Documentation Elements for Startups // Dave Nunez // MLOps Podcast #235 clip

From Robotics to Recommender Systems // Miguel Fierro // MLOps Podcast #240

AWS Trainium and Inferentia // Kamran Khan and Matthew McClean // MLOps Podcast #238

Build Reliable Systems with Chaos Engineering // Benjamin Wilms // MLOps Podcast #237

Handling Massive Machine Learning Models // Simon Karasik // MLOps podcast #228 clip

Managing Small Knowledge Graphs for Multi-agent Systems // Tom Smoker // MLOps Podcast #236

Just when we Started to Solve Software Docs, AI Blew Everything Up // Dave Nunez // Podcast #235

Product Thinking in Data & AI // Stuart Winter-Tear // AI in Production Conference

AI/ML Product Management // Amritha Arun Babu // AI in Production Conference

Evaluating Quality and Improving LLM Products at Scale // Austin Bell // AI in Production Conference

Beyond Guess-and-Check: Towards AI-assisted Prompt Engineering // Alex Cabrera // AI in Production

No GPU Before PMF // Stanislas Polu // AI in Production Conference Lightning Talk

Evaluating Language Models // Matthew Sharp // AI in Production Conference Lightning Talk

Machine Learning beyond GenAI - Quo Vadis? // Hannes Hapke // AI in Production Conference

Ghostwriter - AI Writing That Learns From You // Jonny Dimond // AI in Production Conference

Streamlining Model Deployment // Daniel Lenton // AI in Production Talk

LLMOps and GenAI at Enterprise Scale - Challenges and Opportunities // Andy McMahon // AI in Prod

Data Labeling Best Practices // Charles Brecque // AI in Production Conference Lightning Talk

Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // MLOps Podcast #228

Fostering Connections and Careers with MLOps Community // Demetrios Brinkmann // Podcast #220 clip

Accelerate ML Production with Agents // Salma Mayorquin // AI in Production Conference

Making Sense of LLMOps // Maria Vechtomova & Başak Tuğçe Eskili // AI in Production Conference

Simplicity and Metrics // Sam Bean // MLOps podcast #217 clip

AI Safety and Reliability // Petar Tsankov // MLOps podcast #218 clip

Fine Tuning Llamas // Kai Davenport // AI in Production Lightning Talk

Productionizing Health Insurance Appeal Generation // Holden Karau // AI in Production Talk

Graduating from Proprietary to Open Source Models in Production // Philip Kiely // AI in Production

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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