Browse Lessons

Building the Future of AI in Software Development // Varun Mohan // MLOps Podcast #195

#mlops #machinelearning #Union #Flyte

DSPy: Matrix Representations in Information Retrieval // Omar Khattab

Scaling MLOps for Computer Vision // MLOps Mini Summit Meetup #4

DSPy: Transforming Language Model Calls into Smart Pipelines // Omar Khattab // MLOps Podcast #194

Cambrium's Material Biotech Innovations // Pierre Salvy // MLOps Podcast #193 clip

LLMs in Biomaterials Production // Pierre Salvy // MLOps Podcast #193

Proactive Steps for Securing MLOps Projects // Chris Van Pelt // MLOps Podcast #192 clip

OpenAI's GPT Empowering Language Models with Code Execution // Gregory Kamradt // Podcast #191 clip

MLOps Community: LLMs Mini Summit // MLOps Mini Summit Meetup #3

Enterprises Using MLOps, the Changing LLM Landscape, MLOps Pipelines //Chris Van Pelt //Podcast #192

Building Defensible AI Apps // Gregory Kamradt @DataIndependent // MLOps Podcast #191

Red Teaming and Mitigation Strategies // Ads Dawson // MLOP Podcast #190 clip

Meeting Summaries, Q&A, and Generative Use Cases // Rohit Agarwal // MLOps podcast #189 clip

Model Blind Spot Discovery for Better Models // Pavol Bielik & David Garnitz // Mini Summit #2

Guarding LLM and NLP APIs: A Trailblazing Odyssey for Enhanced Security //Ads Dawson // Podcast #190

#mlops #machinelearning #ai #llm

Designing for Forward Compatibility in Gen AI // Rohit Agarwal // MLOps Podcast #189

Revolutionizing Engineer Onboarding // Anand Das // MLOps Podcast #188 clip

A Product Manager's Approach to Technology Complexity // Faizaan Charania // Podcast # 187 clip

#mlops #machinelearning #ai #llm

Authoring Interactive, Shareable AI Evaluation Reports with Zeno // Alex Cabrera // LLMs III Talk

The State of Open Source AI: Deployment Engines, Licences, & Hardware // Casper da Costa-Luis // LT

Evaluating LLMs for AI Risk // Finn Howell // LLMs in Production Conference III Lightning Talk

Behind the Scenes : The Challenges on Building AI Applications // Yuze Ma // LLMs III Lightning Talk

Impact of LLMs on the Tech Stack and Product Development // Anand Das // MLOps Podcast #188

GenAI: An Unreliable Information Store // Noble Ackerson // LLMs in Production Conference III Talk

AI Squared: Breaking LLMs out of the Chat Application // Benjamin Harvey // LLMs III Talk

Speed and Sensibility: Balancing Latency and UX in Generative AI // Julia Kroll // LLMs III LT

Product Engineering for LLMs // LLMs in Production Conference Part III // Panel 2

Product Strategy for LLM features when LLM isn’t your Product // Harini Kannan // LLMs III LT

Finetuning LLMs // Greg Diamos // LLMs in Production Conference III Lightning Talk

TimeGPT: The First Foundation Model for Time Series // Azul Garza // LLMs III Lightning Talk

Building RAG-based LLM Applications for Production // Philipp Moritz & Yifei Feng // LLMs III Talk

Building Effective Products with GenAI // Faizaan Charania // MLOps Podcast #187

Deploying LLMs on Structured Data Tasks: Lessons from the Trenches // Laurel Orr // LLMs III Talk

False Starts and Dead Ends: Building a Retrieval Augmented Generation System // Wes Ladd // LLMs III

Synthetic Data for Robust LLM Application Evaluation // Shahul Es // LLMs III Lightning Talk

Assess the Value and Feasibility of LLM Use Cases with a Checklist // Rens Dimmendaal & Eva Bosma

Feature Infrastructure // Mike Del Balso & Josh Wills // MLOps Podcast # 186 clip

Current State of LLMs in Production // Apurva Misra // LLMs III Lightning Talk

From Building Self-driving Cars to Building LLM Applications // Effy Zhang //LLMs III Lightning Talk

Addressing Privacy and the GDPR in LLM Applications // Pieter Luitjens // LLMs III Lightning Talk

Data Quality’s Impact on Large Language Models // Mona Rakibe & Maxim Lukichev // LLMs III Talk

Exploring Trade-Offs in MLOps // Richa Sachdev // MLOps Podcast #184 clip

The Future of Feature Stores and Platforms // Mike Del Balso & Josh Wills // MLOps Podcast # 186

Lessons on Data Teams Leadership // Luigi Patruno // MLOps Podcast #185

Efficient Serving of LLMs for Experimentation and Production with Fireworks.ai // Dmytro Dzhulgakov