课程: Hands-On AI: Build a Generative Language Model from Scratch

Next steps - Python教程

课程: Hands-On AI: Build a Generative Language Model from Scratch

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Next steps

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- [Ronnie] This is Ronnie Sheer. I wanted to thank you for coming along for this course and exploring AI by removing a lot of the commonly used tools and libraries and implementing things from scratch. Moving forward, there are a few courses and resources I encourage you to check out. The first one being "Training Neural Networks in Python" by Eduardo Corpeno. Now, we haven't really touched on neural networks in this course, and they're really integral part of modern artificial intelligence and machine learning. There's also my course, "Introduction to Prompt Engineering for Generative AI." And in that course, we both look at techniques for prompt engineering, like few-shot learning and we also look at the landscape of generative AI by generating different images and texts. It's very hands-on and lots of fun. I also encourage you to check out Jonathan Fernandes's course, "Transformers: Text Classification for NLP Using BERT." This course really relates to the last chapter of this course, and it looks at how you can use transformers for text classification tasks, which can range from sentiment analysis and matching similarity. Now, as far as tools and resources, I encourage you to check out Hugging Face. It's a hub for pretty much all things AI and machine learning these days. There's also OpenAI's APIs, which you can use to build some really cool stuff and there's another company called Cohere, which has an NLP toolkit as a service. So once again, thank you so, so much for coming along and always be learning.

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