AI & ML
Learning to play Minecraft with Video PreTraining
OpenAI Blog0 views
We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. With fine-tuning, our model can learn to craft diamond tools, a task that usually takes proficient humans over 20 minutes (24,000 actions). Our model uses the native human interface of keypresses and mouse movements, making it quite general, and represents a step towards general computer-using agents.
Source:https://openai.com/index/vptRelated posts
One Tool, Small Wins: How I Stopped Dropping Balls Between Work, Family & Side Projects
0dev.to Productivity
Why Does My Motorola Phone Stop the Camera App With the Screen Off? Unrestricted Battery Usage, Battery Care and Adaptive Battery
0dev.to Tutorial
How to find old Reddit saves past the 1,000 listing limit
0dev.to Tutorial
Fractional Product Designer or Full-Time Hire? How to Decide
0dev.to Career

Machine Learning Applications: Where ML Earns Its Keep
0dev.to Beginners
Port a PyTorch workload to a new accelerator
0dev.to Testing