This is a $800 course on prompt engineering. The price along makes me want to take it! But I'm pretty sure it's just this guide as a class.
"How do you know about all this AI stuff?"
I just read tweets, buddy.
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This is a $800 course on prompt engineering. The price along makes me want to take it! But I'm pretty sure it's just this guide as a class.
My favorite part about this was Gobblebot (tweet description), an online tool that turns stuff into a single text file for you.
"Stuff?"
You have a website, PDF or a Youtube video and want to make a GPT chatbot on ChatGPT. Simply use Gobble Bot to turn it all into one text file, ready to use for training.
Yes, stuff.
A discussion of model sizes vs quantization on /r/LocalLLaMA, relevant for anyone interested in running models on their own machines. Generally:
Ive read that a larger sized model even at a lower quant will most likely yield better results than a smaller model at a higher quant
It's a solid thread, but is a little long so I'm dropping you into what I think is the good bit. It's a take on the "A is B, B is A" generalizations paper.
Here’s our guide to their favorite strategies for asking a chatbot to help with explaining, writing and brainstorming. Just select a topic and follow along.
It's very, very interactive (to the detriment of casual experience, I think), but it does a great job showing you examples of how different types of prompts might affect the output.
This looks really interesting! I haven't actually watched it, but: it looks really interesting!
I was really surprised – "with a minimum of math and jargon" means "actually a really solid bunch of technical stuff," not "this is baby talk for baby infants." There're plenty of places where I feel like it goes a little too deep, but this piece is a great second-level introduction beyond the basics.
This is a pretty thorough, none-technical guide on the AI tools available for use. It doesn't dig too deep, but it's a heck of a useable list. For example:
Make images
Most transparent option: Adobe Firefly Open Source Option: Stable Diffusion Best free option: Bing or Bing Image Creator (which uses DALL-E), Playgound (which lets you use multiple models) Best quality images: Midjourney
Nice, 'eh?
This book is SO GOOD if you want to get into the nuts and bolts of how image analysis works. It's from a bio point of view but again, SO GOOD.
I know I love all of these, but this is a great thread to illustrate how these models aren't just a magic box we have no control over or understanding of.