Browse Lessons

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

Building Context-Aware Reasoning Applications with LangChain and LangSmith // Harrison Chase // LLM3

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

Insights on Real-Time ML and Its Impact on Traffic Predictions // Ketan Umare // Podcast clip #183

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

Exploring the Latency/Throughput & Cost Space for LLM Inference // Timothée Lacroix // CTO Mistral

Rituals & Best Practices // Jean Machado, Meghana Satish, Olivia Houghton, Theodore Meynard // clip

Translating Business Goals into Product Decisions // Richa Sachdev // MLOps Podcast #184

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

Observability for LLMs // Phillip Carter // LLMs in Production Conference Lightning Talk 4

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

AI Safety: Balancing Control and Equalization? // Kyle Harrison // MLOps Podcast 181 clip

Maximizing the Potential of Deep Learning in Tabular Data Analysis // Sachin Abeywardana //#180 clip

What Drives GenAI Development in the Next 3 Years // Euro Beinat // LLMs in Production Conference 3

Fireside Chat with LLM Startups // LLMs in Production Conference 3

Finetuning Open-Source LLMs // Sebastian Raschka // LLMs in Production Conference 3 Keynote 1

MLOps@GetYourGuide // Jean Machado, Meghana Satish, Olivia Houghton, Theodore Meynard// Podcast #182

#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