Code LLMs and alignment from scratch with Python and PyTorch. And explore generative AI and deep learning using Origami
Sub Category
- Data Science
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Objectives
- Code and train an LLM from scratch, line by line, understanding every concept in detail
- Understand and analyze in depth an advanced LLM architecture based on the Llama system
- Code and train an alignment process from scratch, to align an LLM with a preferred form of interaction
- Understand in great depth key concepts like the Attention Mechanisms, the Cross Entropy Loss, the way neural networks learn and many more
- Explore in depth insights about deep learning and neural networks through the use of Origami
- In addition to the coding, every section includes in-depth explanations of key concepts related to these architectures and generative AI
Pre Requisites
- Basic knowledge of python. It's enough with the very basics, as we will code every little thing together, line by line
- You can code either on a free online platform like Google Colab, or using your local Laptop or Desktop
- Lots of enthusiasm. We are going to go really deep into both the code and the concepts around the code. You can grow and stretch your knowledge and experience a lot if you stay focused and motivated throughout the course, let's do it :)
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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