Browse Lessons

Building AI Voice Agents with Scott Stephenson - 707

Is Artificial Superintelligence Imminent? with Tim Rocktäschel - 706

ML Models for Safety-Critical Systems with Lucas García - 705

AI Agents: Substance or Snake Oil with Arvind Narayanan - 704

AI Agents for Data Analysis with Shreya Shankar - 703

Stealing Weights of a Production LLM Like OpenAI’s ChatGPT with Nicholas Carlini - 702

Supercharging Developer Productivity with ChatGPT and Claude with Simon Willison - 701

Can Google DOMINATE Enterprise AI with Gemini?

Automated Design of Agentic Systems with Shengran Hu - 700

AI Regulation and Automated Decisioning with Peter van der Putten - 699

The Building Blocks of Agentic Systems with Harrison Chase - 698

Optimizing AI Applications for Mobile Devices with Siddhika Nevrekar - 697

Genie: Generative Interactive Environments with Ashley Edwards - 696

Bridging the Sim2real Gap in Robotics with Marius Memmel - 695

Building Real-World LLM Products with Fine-Tuning and More with Hamel Husain - 694

Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - 693

Decoding Animal Behavior to Train Robots with EgoPet with Amir Bar - 692

Using a unified tool across metrics offers a holistic view, balancing quality & security trade-offs

Building a robust defense-in-depth system is like stacking Swiss cheese—no holes all the way through

Models are tested on three aspects. Applications undergo tailored checks to ensure intended behavior

Hallucinations are common in LLMs, but omission can be just as crucial in generating harmful content

What are the two key risk areas posed by generative AI and LLMs? #machinelearning #ai #llm #podcast

How Microsoft Scales Testing and Safety for Generative AI with Sarah Bird - 691

Long Context Language Models and their Biological Applications with Eric Nguyen - 690

Sustainable practices are now table stakes. Andres shares opportunities & how Microsoft leads change

What is ESG? Andres breaks it down & how MS Sustainability Manager help achieve sustainability goals

Food waste impacts the environment and economy. Learn how ML models help cut waste from 15-40% to 1%

The ‘Math Search’ dataset bridges the gap between human reasoning and models in math plot analysis

Asking the right questions during training helps models improve attention mechanism and reasoning 📹🧠

Fatih shares video language model providing real-time feedback and coaching on activities #CVPR2024

Accelerating Sustainability with AI with Andres Ravinet - 689

Gen AI at the Edge: Qualcomm AI Research at CVPR 2024 with Fatih Porikli - 688

Energy Star Ratings for AI Models with Sasha Luccioni - 687

Language Understanding and LLMs with Christopher Manning - 686

Chronos: Learning the Language of Time Series with Abdul Fatir Ansari - 685

The worlds largest computer chip is being used in AI #machinelearningbasics #ai #podcast

Powering AI with the World's Largest Computer Chip with Joel Hestness - 684

Terra Praxis is using AI to help make new nuclear reactors #machinelearningbasics #ai #podcast

Smaller models will reduce AI's load on the grid. #machinelearningbasics #ai #podcast

Can AI help us manage the grid? #machinelearningbasics #ai #podcast

AI for Power & Energy with Laurent Boinot - 683

Can AI control plasma instability in fusion reactors? #machinelearning #ai #podcast

Controlling Fusion Reactor Instability with Deep Reinforcement Learning with Aza Jalalvand - 682

GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - 681

Do LLMs and RL offer a path to AGI? #machinelearning #ai #podcast

Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - 680

Why do LLMs sometimes fail to solve simple math problems? #machinelearning #ai #podcast

What are LLMs really doing internally? #machinelearning #ai #podcast