Browse Lessons

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

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

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

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

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

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

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

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

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

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

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

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

The AI Engineer Song

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

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

Prompt Templates the Song

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

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

Mitigating LLM hallucinations paper breakdown

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

#mlops #machinelearning #Union #Flyte

Model Training and Autocomplete Functionality // Varun Mohan // MLOps Podcast #195 clip

#mlops #machinelearning #Union #Flyte