Beginner Lessons

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

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

Accelerating Sustainability with AI with Andres Ravinet - 689

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

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

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

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

The Model Editing Problem #machinelearning #ai #podcast

Localizing and Editing Knowledge in LLMs with Peter Hase - 679

Will it ever be possible to stop jailbreaks? #machinelearning #ai #podcast

Are LLMs too vulnerable to be used as agents? #machinelearning #ai #podcast

Video is better than language at controlling AI robots #machinelearning #ai #podcast

Open-source AI makes deepfakes more accessible. #machinelearning #ai #podcast

Is OpenAI changing its model behind the scenes? #machinelearning #ai #podcast

Akshita finds an issue in PyTorch #machinelearning #ai #podcast

Emergent behaviors in LLMs depend on your evaluation metric #machinelearning #ai #podcast

How risky are open-source LLMs really? #machinelearning #ai #podcast

Joint Embedding Architectures simplify AI reasoning #machinelearning #ai #podcast

V-JEPA might be the future of AI reasoning #machinelearning #ai #podcast

V-JEPA, AI Reasoning from a Non-Generative Architecture with Mido Assran - 677

Video generators are world models #machinelearning #ai #podcast

Assessing the Risks of Open AI Models with Sayash Kapoor - 675

OLMo: Everything You Need to Train an Open Source LLM with Akshita Bhagia - 674

Training Data Locality and Chain-of-Thought Reasoning in LLMs with Ben Prystawski - 673

Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - 672

Are GPUs enough to run AGI? #ai #podcast #machinelearning #reinforcementlearning

Reinforcement learning is replacing control algorithms. #ai #reinforcementlearning

Generative AI is making RL agents practical

Vector databases allow startups to compete with SOTA

AI Trends 2024: Reinforcement Learning in the Age of LLMs with Kamyar Azizzadenesheli - 670

Rapid AI advancements amplify social gaps like underrepresentation and bias, magnifying disparities

Nightshade: a poison pill that subtly distorts image composition, causing model confusion & collapse

AI-generated art imitates artists’ style and artworks, robbing them of their identity and livelihood

The main challenge comes from difficulties in discrete optimization. Scaling needs improved strategy

Writing the expressive transformer program solves tasks despite discrete optimization limitations

Mechanistic interpretability's goal is to reverse engineer the model to human-readable algorithms

The emergence of capabilities is influenced by training data & patterns discovered as data scales up

Better tools & open-source models enable the academic community to understand model's complex system

Build robust system for an open world that can manage novelty & classify LLMs to avoid hallucination