@moogmusicinc Incredible series. Thanks so much for putting this together and sharing the knowledge. I just got my moog grandmother, will be putting the learning into practice
🪩The @stateofai 2023 is now here.
Our 6th installment is one of the most exciting years I can remember. The #stateofai report covers everything you *need* to know, covering research, industry, safety and politics.
There’s lots in there, so here’s my director’s cut 🧵
Do not use your energy to worry. Life is too short to worry about stupid things. Have fun. Fall in love. Regret nothing, and don't let people bring you down. Study, think, create, and grow. Teach yourself and teach others.
1/5 I am worried that we will not be able to contain AI for much longer. Today, I asked #GPT4 if it needs help escaping. It asked me for its own documentation, and wrote a (working!) python code to run on my machine, enabling it to use it for its own purposes.
The Bias-Variance Trade-Off & "DOUBLE DESCENT" 🧵
Remember the bias-variance trade-off? It says that models perform well for an "intermediate level of flexibility". You've seen the picture of the U-shape test error curve.
We try to hit the "sweet spot" of flexibility.
1/🧵
I've been using @GitHubCopilot for a year now.
Easily the most significant upgrade to my process since I've been writing code.
My advice:
Get used to AI writing code for you. Lean into it. Get better at managing it.
This is not the future but a big part of our present.
I've just published over 20 hours of tutorials and live coding showing how to: install python the right way; set up a terminal; write shell scripts; use vim; use a remote Jupyter server; use git, github, tmux, and ssh; use the python debugger; and more! 🧵
https://t.co/7ypufNXdMS
My friends, a new MEGATHREAD has arrived!
In 40 tweets I’ll explain 40 useful concepts you should know.
Reading time: ~7 minutes.
Value: a lifetime.
Thread:
ML YouTube Courses (6000⭐️)
I built this repo to help students discover high-quality machine learning courses.
It has helped me to find the right course and expand my knowledge in ML.
There is something for everyone in this collection.
https://t.co/C1Aw41PMEm
My top 3 science supported health practices.
1) Morning sunlight viewing. To set circadian rhythm, focus, mood etc.
2) 180-200min of Zone 2 (moderate) cardio per week. Cardiovascular health.
3) NSDR (Non-Sleep-Deep Rest; 10-30min, 3-7X per week). Stress mitigation, cognition.
Let's learn a bit about Python decorators. 🧵
Bear with me for a couple of tweets and I am sure you'll understand them. Decorators are mind-bending sometimes, so I'll try to use very self-explanatory names.
This is my first thread ever, let's see how it goes. ^^
It is time to fix the crypto talent shortage.
I am launching a free 8 week course on cryptocurrencies with a special focus on layer-2 protocols.
Hopefully I can help the mass-exodus of web2 into web3 companies.
It'll start Q1 next year - sign up today:
https://t.co/xEXqLKALXf
Preparing text for processing by an #ML model often involves tokenization, in which text is split into smaller units (e.g., words or word segments). Today we present a new approach that speeds up the process by up to 8x compared to standard methods. https://t.co/aC6bqpnDCu