ML Fundamentals

Charles H Martin - WeightWatcher DataFree Diagnostics for Deep Learning

Vision: Structure of the eye - Explained!

#297 The Past and Future of Language Models | Andriy Burkov, Author of The Hundred-Page ML Book

What Does Effective Checkpointing Mean for Streaming Workloads?

Reinforcement Learning: Zero to Hero

The Most Affordable Bootcamp On Computer Vision With Pytorch And Tensorflow

Why choose the Oxford Real Estate Programme?

Thien Tran - Low bit training

🚀 Ultimate AI GPU Comparison Tool - Which GPU is Right for You? 🔍

Accelerating Mixture of Experts Training With Rail Optimized InfiniBand Networking in Crusoe Cloud

AI is Coming for Your Toaster

Activate GROKKING NOW - Performance Phase of LLMs (II)

Gemma Scope demo with Neuronpedia

Become a GENAI Expert and Get HIRED!! #generativeai

Navigating the Data Science Job Market with the University of Leeds

Neil Lawrence | The Atomic Human: What Makes Us Unique in the Age of AI | Talks at Google

Lightning Talk: Mobile Computational Photography with PyTorch: Low-Light Denoising - Alexis Baudron

[TRITON] Maximizing Kernel Development Productivity Under Performance Constraints - Philip Tillet

Everything you need to know about Fine-tuning and Merging LLMs: Maxime Labonne

Stanford ECON295/CS323 I 2024 I AI and Creativity, Anima Anandkumar

Bring AI Education and Training to Your University with NVIDIA

Hyperparameter Tuning for Improving Model Accuracy #ai #datascience #learnwithav #hyperparameter

Amazon's New AI Chips vs. Nvidia's Blackwell: AI Race Heats Up! #amazon #nvidia #ai #chips #genai

David Stork | When Computers Look at Art | Talks at Google

Maximizing AI productivity: Rad AI on using Weights & Biases Automations

Oxford Executive MBA Experience Day: Taster Lecture 'Can corporations think?'

Celia Rubio Madrigal - Rewiring Graph Neural Networks: When Less is More and Structure Matters

Hopfield Networks - Explained!

Rohan Jain - Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight

Unlock Unreal Performance with Small Models!

Mind Blowing Fact More Docs Boosts Performance!

Avoiding the Premature Optimization Trap

Konstantin Klemmer - Learning Neural Representations of our Planet from Earth Observation Data

LoRA - Explained!

Keynote: Ray: A Distributed Framework for Heterogeneous Computing - Ion Stoica, UC Berkeley

Jeremy Bernstein - Metrized Deep Learning

Informer: Training and Inference

Informer: Complete Code from scratch!

Informer: complete architecture EXPLAINED!

Informer Encoder architecture - EXPLAINED!

Alex Lewandowski - Learning Continually by Spectral Regularization

Fireside Chat: Max Welling

Informer embeddings - EXPLAINED!

Quality Metrics and Tools in Michelangelo 2.0 // MLOps Podcast #239 clip 2

Unifying Systems with Uber’s Michelangelo Platform // MLOps Podcast #239 clip

Informer distillation - EXPLAINED!

Elijah Cole - Machine Learning for Global-Scale Species Mapping

Uber's Michelangelo: Strategic AI Overhaul and Impact // MLOps podcast #239