AI News & Updates

Oliver Roeder | Seven Games: A Human History | Talks at Google

Peter & Boris — Fine-tuning OpenAI's GPT-3

What Would It Actually Take for Humans to Hibernate?

How insulated glass changed architecture

Michelle Drouin | Out of Touch: How to Survive an Intimacy Famine | Talks at Google

A breakthrough unfolds

Research talk: Search, summarization, and sensemaking

Panel: The future of search and recommendation: Beyond web search

How Psychedelic Mushrooms Could Treat Depression

Computer Scientist Explains One Concept in 5 Levels of Difficulty | WIRED

Do URL structure changes affect SEO?

A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck - #551

Baker Answers Baking Questions from Twitter | Tech Support | WIRED

[ML News] DeepMind builds Gopher | Google builds GLaM | Suicide capsule uses AI to check access

Why we need a better flu shot

Optimization School with Dr. Mike - #545

THE TRITON LANGUAGE | PHILIPPE TILLET

TORCHX: PRODUCTION ML WITH PYTORCH | KIUK CHUNG

2022 OSCP EXAM CHANGES - Goodbye Buffer Overflow, Hello Active Directory

How to Train a Model with Pytorch

The Post processing step in Question Answering (TensorFlow)

Katie Couric | Going There | Talks at Google

This Exotic State of Light Acts Like a ‘Liquid’

The Biggest Myth About Your Metabolism Debunked

The Surprising Reason Why You Talk in Your Sleep

Meet the First Spider-Like Robot to Explore Lava Caves on the Moon

Does Zinc Actually Work to Fight the Flu and Cold?

Can Soil Actually Capture Carbon? Maybe Not

Google Made a Time Crystal That Defies Physics

Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick - #541

Inside the James Webb Space Telescope’s Orbit Around the Sun

Building a Deep Tech Startup in NLP with Nasrin Mostafazadeh - #539

The Next Generation of Nuclear Power Is Here

Using a debugger in a notebook

Why are fast tokenizers called fast?

The Post processing step in Question Answering (PyTorch)

What to do when you get an error?

Inside the Token classification pipeline (TensorFlow)

Using a custom loss function

Debugging the Training Pipeline (TensorFlow)

Inside the Question answering pipeline (TensorFlow)

Data processing for Masked Language Modeling

Inside the Question answering pipeline (PyTorch)

Inside the Token classification pipeline (PyTorch)

Fast tokenizer superpowers

Slice and dice a dataset 🔪

Data processing for Causal Language Modeling

What is normalization?