Hi again!
I've been publishing new data visualization content here in DZone but never published anything about React.
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Hi again!
I've been publishing new data visualization content here in DZone but never published anything about React.
I've searched, but can't even find what to call this. Any links or code would help a ton. I want 8 main items to appear from a side-menu with 4 sub-items branching out to their right when clicked. As any sub-item is clicked, I'd like for 4 items below that to appear in an accordion-style fashion. The entire thing should never get any larger than 8x2.
Does this make sense? What am I looking for here? Thanks for any help you're able to provide.
Over the last few weeks, there’s been a lot of chatter about ChatGPT, a writing tool built in OpenAI. So much noise, in fact, that everyone from CNN, the NYT, Forbes, the Atlantic, the Washington Post, the Guardian, BBC, TechCrunch, CNet, and approximately a half billion techbruhs on YouTube had to sound off on it. All in the last two weeks.
The opinions range from incredulous to breathless to skeptical — albeit carefully so. Nobody really knows what the next few weeks will bring, and therefore nobody is willing to declare ChatGPT entirely one thing or another.
In this article, I will show how to easily train GPT-class neural networks from home. Let me start by saying that we won’t train NN from scratch, as that would require 8 (eight!) A100-class GPUs at least and a massive dataset. Instead, we’ll focus on fine-tuning a pre-trained GPT-2 model using a smaller dataset, which anyone can easily make or find online. OpenAI has kindly released GPT-2 under Modified MIT License.
We’ll use the nanoGPT repository created by Andrej Karpathy for fast and easy GPT training. He has a comprehensive video lecture explaining how GPT-2 works and how to train such a neural network. However, we’re interested in fine-tuning the model using our own dataset and seeing the difference from the original (GPT-2 trained by OpenAI).