Browse Lessons

#mlops #machinelearning #ai #llm

The Centralization of Power in AI // Kyle Harrison // MLOps Podcast # 181

#mlops #ai #machinelearning #llm

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

#mlops #ai #machinelearning #llm

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

#mlops #ai #machinelearning #llm

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

Harnessing User Feedback for ML Platform Updates // Stephen Batifol // MLOps Podcast #178 clip

LLM Security //Raahul Dutta & Uri Shamay & Sankalp Gilda // Mini Summit #1

Building an ML Platform: Insights, Community, and Advocacy // Stephen Batifol // MLOps Podcast #178

Introduction to QA bots with RAGs and LLMs

[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

#mlops #ai #machinelearning #openai

#mlops #ai #machinelearning

Unleashing the Potential of Data Scientists and Engineers // Vin Vashishta // MLOps Podcast 176 clip

#mlops #ai #llm #machinelearning

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

#mlops #ai #llm #machinelearning

The Quest for a Unified MLOps Infrastructure // Lamia Youseff // MLOps Podcast # 175 clip

#mlops #ai #generativeai #llm

From Virtualization to AI Integration // Lamia Youseff // MLOps Podcast # 175

#mlops #ai #generativeai #llm

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