Yesterday evening I got a bit of time off and managed to read some articles that were sitting in my bookmarks for a while.
The most I enjoyed the Eigenquestions for the AI Red Wedding article written by Shawn Wang, also known by his Marvel superhero name Swyx 🦸♂️.
As usual, Shawn brings some great ideas to the table, but the one that stuck the most is that AI is good for:
- generating a Large output based on a Small input
- and transforming a Large input into a Small output source
For example, just typing something like "a techno rabbit that fights a dragon" will produce billions of pixels of image or video representation.
On the other side, after taking 15 million websites it can produce very short and summarized answers.
Quite a useful thought.
By the way, there are some interesting Chrome plugins that are great for summarizing long articles or even Youtube videos.
📖 Neural Networks from Scratch - Presale
I'm writing a book about the timeless foundational concepts of neural networks for JavaScript developers. Go from if-else to weights and biases by building tiny AI models from scratch!
📖 Neural Networks from Scratch - Presale
I'm writing a book about the timeless foundational concepts of neural networks for JavaScript developers. Go from if-else to weights and biases by building tiny AI models from scratch!