Prompt Engineering Tutorial – Master ChatGPT and LLM Responses
Learn prompt engineering techniques to get better results from ChatGPT and other LLMs.
Learn prompt engineering techniques to get better results from ChatGPT and other LLMs.
What are the neurons, why are there layers, and what is the math underlying it? Typo correction: At 14 minutes 45 seconds, the last index on the bias vector is n, when it’s supposed to in fact be a k. Thanks for the sharp eyes that caught that! There are two neat things about this…
Attention mechanisms are crucial to the huge boom LLMs have recently had.In this video you’ll see a friendly pictorial explanation of how attention mechanisms work in Large Language Models.This is the first of a series of three videos on Transformer models. https://www.youtube.com/watch?v=OxCpWwDCDFQ
Oct 9, 2024As LLMs are being integrated into more and more applications, security standards for these integrations have lagged behind. Most security research either focuses 1) on social harms, biases exhibited by LLMs, and other content moderation tasks, or 2) zooms in on the LLM itself and ignores the applications that are built around them….
To follow along with the course, visit the course website:https://deepgenerativemodels.github.io/ Stefano ErmonAssociate Professor of Computer Science, Stanford Universityhttps://cs.stanford.edu/~ermon/ https://www.youtube.com/watch?v=XZ0PMRWXBEU
What is generative AI? Not sure where to begin? Check out this short course! We’ll take you through the basics of generative AI including common applications, model types, and the fundamentals of how you can use it. Discover the power behind this technology and see how it’s changing the way we solve problems, and tell…
To learn more, I highly recommend the book by Michael Nielsenhttp://neuralnetworksanddeeplearning….The book walks through the code behind the example in these videos, which you can find here:https://github.com/mnielsen/neural-ne… MNIST database:http://yann.lecun.com/exdb/mnist/ Also check out Chris Olah’s blog:http://colah.github.io/His post on Neural networks and topology is particular beautiful, but honestly all of the stuff there is great. And if…