Confusion Spirals in Crypto as the US Cracks Down
The Securities and Exchange Commission launched enforcement actions against some of the industry’s major players, raising questions over crypto’s future.
Efficient technique improves machine-learning models’ reliability
Powerful machine-learning models are being used to help people tackle tough problems such as identifying disease in medical images or detecting road obstacles for autonomous vehicles. But machine-learning models can make mistakes, so in high-stakes settings it’s critical that humans know when to trust a model’s predictions.
I made a LoRA training guide! It’s a colab version so anyone can use it regardless of how much VRAM their graphic card has!
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Save and Load Your PyTorch Models
A deep learning model is a mathematical abstraction of data, in which a lot of parameters are involved. Training these parameters can take hours, days, and even weeks but afterward, you can make use of the result to apply on new data. This is called inference in machine learning. It is important to know how …
Cognitive bias: The elephant in every room
Humans can’t scale and narrow AI can’t “think,” so neither is suitable to address cognitive bias. But scalable human-like intelligence can.Read More
Best Running Gear (2023): Shoes, Clothes, Accessories
The roads and parks are calling. Our favorite cold-weather picks will have you jogging in no time.
The Matrix as a western (Pix2Pix)
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The language revolution: How LLMs could transform the world
Take a look at the landscape of large language models (LLMs) today, and how they could enable us to achieve more than we thought possible.Read More
18 Best Bluetooth Speakers (2023): Portable, Waterproof, and More
These are our favorite portable speakers of all shapes and sizes, from clip-ons to a massive boom box.
My new graphic design tuned model is released (alpha version). Link in the comment. Enjoy guys!
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