Browse Lessons

Leading Enterprise Data Teams // Sol Rashidi // MLOps Podcast #227

The Changing Face of AI Engineering // Amritha Arun Babu & Abhik Choudhury // Podcast #221 clip

Building Conversational AI Agents with Voice // Michelle Chan // AI in Production Conference

Reliable Hallucination Detection in Large Language Models // Jiaxin Zhang // AI in Production Talk

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

Shipping LLMs: Buckle Up & Enjoy the Ride // Rex Harris // AI in Production Conference

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

DSPy Assertions: Computational Constraints for Self-Refining LM Pipelines // Arnav Singhvi // Talk

The Rise of Modern Data Management // Chad Sanderson // MLOps Podcast #226

Lessons from Building LLM-based Social Media Products // Faizaan Charania // AI in Production

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

Beyond AGI, Can AI Help Save the Planet? // Patrick Beukema // MLOps Podcast #225

Addressing Data Quality Issues // Bandish Shah and Davis Blalock // MLOps Podcast clip #219

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

Innovative Gen AI Applications: Beyond Text // MLOps Mini Summit #5

Enabling Efficient Trillion Parameter Scale Training for Deep Learning Models // Tunji Ruwase

Graphs and Language // Louis Guitton // AI in Production Lightning Talk

GenAI in Production - Challenges and Trends // Verena Weber // MLOps Podcast #224

Seeing Like a Language Model // Linus Lee // AI in Production Conference Full Talk

From Robotics to AI NPCs // Nyla Worker // AI in Production Talk

Introducing DBRX: The Future of Language Models // [Exclusive] Databricks Roundtable

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

From MVP to Production // Day 2 Panel 2 // AI in Production Conference

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

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

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

Vision Pipelines in Production: Serving & Optimisations // Biswaroop Bhattacharjee // AI in Prod

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

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

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

Anatomy of a Software 3.0 Company // Sarah Guo // AI in Production Keynote

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

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

Getting 50 people to comment on my shirt at Kubecon

The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // MLOps Podcast #219

Kubecon Shirt Compliment Challenge

Hypothesis Testing and Stakeholder Collaboration // Alexandra Diem // MLOps Podcast #212 clip

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

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