Intermediate Lessons

RagSys: RAG is just RecSys in Disguise // Chang She // AI in Production Lightning Talk

Building a Python-Centric Feature Platform to Power Production AI Applications // Matt Bleifer

Data Engineering in the Federal Sector // Shane Morris // MLOps podcast #223

The State of Production Machine Learning in 2024 // Alejandro Saucedo // AI in Production

From Research to Production: Fine-Tuning & Aligning LLMs // Philipp Schmid // AI in Production

Navigating via Retrieval Evaluation to Demystify LLM Wonderland // Atita Arora // AI in Production

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

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

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

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

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

Getting 50 people to comment on my shirt at Kubecon

Kubecon Shirt Compliment Challenge

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

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

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

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

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

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

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

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

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

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

DSPy: Matrix Representations in Information Retrieval // Omar Khattab

DSPy: Transforming Language Model Calls into Smart Pipelines // Omar Khattab // MLOps Podcast #194

Proactive Steps for Securing MLOps Projects // Chris Van Pelt // MLOps Podcast #192 clip

OpenAI's GPT Empowering Language Models with Code Execution // Gregory Kamradt // Podcast #191 clip

MLOps Community: LLMs Mini Summit // MLOps Mini Summit Meetup #3

Building Defensible AI Apps // Gregory Kamradt @DataIndependent // MLOps Podcast #191

Meeting Summaries, Q&A, and Generative Use Cases // Rohit Agarwal // MLOps podcast #189 clip

Guarding LLM and NLP APIs: A Trailblazing Odyssey for Enhanced Security //Ads Dawson // Podcast #190

Designing for Forward Compatibility in Gen AI // Rohit Agarwal // MLOps Podcast #189

A Product Manager's Approach to Technology Complexity // Faizaan Charania // Podcast # 187 clip