Intermediate Lessons

LLM Valley // Lilly Chen // LLMs in Production Conference III Lightning Talk

LLMs in Production at GetYourGuide // Meghana Satish & Tina Treimane // LLMs III Talk

The Truth About AI Agents // Silen Naihin // LLMS in Production Conference III Talk 7

Amplifying Impact with Generative AI: Insights from 10,000 Colleagues // Paul van der Boor // Talk 4

Using Product Analytics to Build Better LLM Applications // Henry Scott-Green // Lightning Talk 6

Unlocking Real-World LLM Use Cases // Hamsa Buvaraghan // LLMs in Prod Con Part III Lightning Talk 5

MLOps vs ML Orchestration // Ketan Umare // MLOps Podcast #183

AI in Education Fireside Chat // LLMs in Production Conference 3

Automating Data Annotation with LLMs // LLMs in Production Conference 3 Workshop1

The Future of Evaluation in LLMs // Shahul Es // MLOps Podcast #179 clip

Adventures in Building CLIP & Other (Largeish) LMs // Sachin Abeywardana // MLOps Podcast #180

All About Evaluating LLM Applications // Shahul Es // MLOps Podcast #179

[Exclusive] Tecton Round-table // Get your ML Application Into Production

LLMs in Action: Exploring the Three Roles // Mohamed Abusaid and Mara Pometti // MLOps Podcast clip

Collaboration and Strategy // Vin Vashishta // MLOps Podcast #176

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

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

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

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

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

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

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

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

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

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

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

Building Reliable AI Agents // Travis Fischer // LLMs in Production Conference Part 2

Wardley Mapping Prompt Engineering // Mark Craddock // LLMs in Production Conference Part 2

Create a Contextual Chatbot with LLM a Vector Database in 10 Minutes // Raahul Dutta // LLMs Part 2

Treating Prompt Engineering More Like Code // Maxime Beauchemin // MLOps Podcast #167

Stopping Hallucinations From Hurting Your LLMs // Atindriyo Sanyal // LLMs in Prod Conference Part 2

Building and Curating Datasets for RLHF and LLM Fine-tuning // Daniel Vila Suero // LLMs in Prod Con

Beyond the Hype: Monitoring LLMs in Production // Claire Longo // LLMs in Prod Conference Part 2

Building Production Copilots // Tristan Zajonc // LLMs in Prod Conference Part 2

Embeddings and Retrieval for LLMs: Techniques and Challenges // Anton Troynikov // LLMs in Prod Con

Open Source and Fast Decision Making // Rob Hirschfeld // MLOps Podcast #164

Pitfalls and Best Practices — 5 lessons from LLMs in Production // Raza Habib // LLMs in Prod Con 2

Using Vector Databases: Practical Advice for Production // Sam Partee // LLMs in Prod Conference

LLMs as Intelligent Assistants // Sarah Aerni // LLMs in Prod Conference Part 2

Building LLM Applications for Production // Chip Huyen // LLMs in Prod Conference

The Emerging Toolkit for Reliable, High-quality LLM Applications // Matei Zaharia //LLMs in Prod Con

From Arduinos to LLMs: Exploring the Spectrum of ML // Soham Chatterjee // MLOps Podcast #162