Browse Lessons

Steering a Large-Scale Data Migration // Michelle Marie Conway // MLOps Podcast Coffee #174 clip

Harnessing MLOps in Finance // Michelle Marie Conway // MLOps Podcast Coffee #174

AI-Powered Code Search // Beyang Liu // MLOps Podcast #173 clip

Building Cody, an Open Source AI Coding Assistant // Beyang Liu // MLOps Podcast #173

Cutting Costs Without Compromising Accuracy // Lingjiao Chen // MLOps Podcast #172 clip 2

FrugalGPT: Better Quality and Lower Cost for LLM Applications // Lingjiao Chen // MLOps Podcast #172

Leveraging Open Source LLMs for Optimal Results // LLMs in Production Conference Part II clip

LLMs vs LMs in Prod // Denys Linkov // LLMs in Production Conference Part 2

Building RedPajama // Vipul Ved Prakash // LLMs in Production Conference Part 2

LLM-based Feature Extraction for Operational Optimization // Xin Lian // LLMs in Prod Con Part 2

Building Resilient Systems // Thibaut Labarre // MLOps Podcast #171 clip

MLOps LLM Stack Hackathon Winner // Travis Cline // LLMs in Production Conference Part 2

Fireside Chat - The Future of LLMs // David Hershey & Daniel Jeffries // LLMs in Prod Con Part 2

Preemption Chaos and Optimizing Server Startup // Bradley Heilbrun // LLMs in Prod Conference Part 2

Taming AI Product Development Through Test-driven Prompt Engineering // Maxime Beauchemin // LLMs 2

Using LLMs to Power Consumer Search at Scale // Aravind Srinivas // LLMs in Prod Conference Part 2

Enabling Defense Missions with Local LLMs // Gerred Dillon // LLMs in Production Conference Part 2

Considerations and Optimizations for Deploying Open Source LLMs at Your Company // Oscar Rovira //

LLM XGBoost - Can a Fine-Tuned LLM Beat XGBoost on Tabular Data? // Sebastian Cattes // LLMs Part 2

Real User Data's Power in Product Iteration // Phillip Carter // MLOps Podcast #170 clip

Using Large Language Models at AngelList // Thibaut Labarre // MLOps Podcast #171

Evolving AI Governance for an LLM World // Diego Oppenheimer // LLMs in Production Conference Part 2

MLOps vs LLMOps // Panel 4 // LLMs in Conference in Production Conference Part 2

LIMA: Less is More for Alignment // Chunting Zhou // LLMs in Production Conference Part 2

From an API to a Chat GPT Plugin // Mathieu Bastian // LLMs in Production Conference Part 2

All the Hard Stuff with LLMs in Product Development // Phillip Carter // MLOps Podcast #170

Everything We've Been Taught About ML is Wrong // Emmanuel Ameisen // LLMs in Prod Con Part 2

Ux of a LLM User // Panel 5 // LLMs in Production Conference Part 2

End-to-end Modern Machine Learning in Production // Omar Sanseviero // LLMs in Prod Con Part 2

Guardrails for LLMs: A Practical Approach // Shreya Rajpal // LLMs in Prod Conference Part 2

Language Models: Developing Apps - Challenges & Solutions // Barak Turovsky /MLOps Podcast #169 clip

RLHF Data Collection in Practice // Andrew Mauboussin // LLMs in Prod Conference Part 2

The Confidence Checklist for LLMs in Production // Rohit Agarwal // LLMs in Prod Conference Part 2

Incorporating LLMs in High-stake Use Cases // Yada Pruksachatkun // LLMs in Prod Conference Part 2

Bringing Structure to Unstructured Data with an AI-First System Design // Will Gaviria Rojas // LLMs

MLOps at the Age of Generative AI // Barak Turovsky // MLOps Podcast #169

From Experiment to Prompt Tracking in MLOps // Piotr Niedźwiedź // MLOps Podcast #168 clip

Designing Human in the Loop Experiences for LLMs // Alberto Rizzoli // LLMs in Prod Con Part 2

Unleashing Code Completion with LLMs // Monmayuri Ray // LLMs in Production Conference Part 2

Building Recommender Systems with Large Language Models // Sumit Kumar // LLMs in Production

Combining LLMs with Knowledge Bases to Prevent Hallucinations // Scott Mackie // LLMs in Prod Con 2

Experiment Tracking in the Age of LLMs // Piotr Niedźwiedź // MLOps Podcast #168

Controlled and Compliant AI Applications // Daniel Whitenack // LLMs in Production Conference Part 2

Making LLM Inference Affordable // Daniel Campos // LLMs in Production Conference Part 2

The Next Million AI Apps // Mark Huang // LLMs in Pod Con Part 2 Workshop Day 1

Benchmarking LLM performance with LangChain Auto-Evaluator // Lance Martin //LLMs in Prod Con Part 2

A Testing Library for AI Prompt Engineering // Maxime Beauchemin // MLOps Podcast #167 clip

Challenges in Providing LLMs as a Service // Hemant Jain // LLMs in Production Conference Part 2