Advanced Lessons

[ML News] Cedille French Language Model | YOU Search Engine | AI Finds Profitable MEME TOKENS

Supercharge your PyTorch training loop with 🤗 Accelerate

Facebook Traffic Campaigns — Change AUDIENCE SIZE!

Infinitely Many Touching Circles - Numberphile

How to Train a Model with Pytorch

Facebook (Meta) & The METAVERSE — What it means for advertisers...

Instagram Boosted Posts with WhatsApp CTAs

Is the Solar System Missing a Planet?

Github Copilot: Good or Bad?

How to Maximize Your PPC Performance in 2022

The Benefit of Bottlenecks in Evolving Artificial Intelligence with David Ha - #535

A Video about the Number 10 - Numberphile

Every Prototype that Led to a Realistic Prosthetic Arm | WIRED

Reliable Machine Learning // Niall Murphy // Coffee Sessions #54 short clip

Sentdex Live: GTC Keynote News and free GPUs

NVIDIA TAO: Create Custom Production-Ready AI Models without AI Expertise

Visualizing the World's Most Violent Tornadoes

Mo Gawdat | The Future of Artificial Intelligence and How You Can Save Our World | Talks at Google

Speed Up Your Wordpress Website INSTANTLY (You Won’t Believe These Results!)

CISSP Test-Taking Tactics: Successfully Navigating Adaptive Exams

Facebook Abandons Facial Recognition. Should Everyone Else Follow Suit? With Luke Stark - #534

Scaling Up Blockchains with Zero-Knowledge Proofs

Semrush Just Changed the SEO Keyword Research Game!? 🤯

The chicken industry’s worker safety problem

The Post processing step in Question Answering (TensorFlow)

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?

What is pre-tokenization?

Data Collators: A Tour

Debugging the Training Pipeline (PyTorch)

Are Facebook Conversion Campaigns Too Expensive?

The efficiency misnomer | Size does not matter | What does the number of parameters mean in a model?

Change Point Detection Algorithms

On-Facebook Ads or Off-Facebook Ads? Which is Best?

Work Out Facebook Ad AUDIENCE SIZE (with new set up)