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Here is how Transformers ended the tradition of Inductive Bias in Neural Nets
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Classroom Contents
Attention to Transformers from Zero to Hero - Theory and Hands-on Projects
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- 1 Neural Attention - This simple example will change how you think about it
- 2 The many amazing things about Self-Attention and why they work
- 3 Here is how Transformers ended the tradition of Inductive Bias in Neural Nets
- 4 10 years of NLP history explained in 50 concepts | From Word2Vec, RNNs to GPT
- 5 From Attention to Generative Language Models - One line of code at a time!
- 6 Turns out Attention wasn't all we needed - How have modern Transformer architectures evolved?
- 7 Finetune LLMs to teach them ANYTHING with Huggingface and Pytorch | Step-by-step tutorial
- 8 Vision Transformers - The big picture of how and why it works so well.
- 9 Sparse Mixture of Experts - The transformer behind the most efficient LLMs (DeepSeek, Mixtral)
- 10 Building awesome Speech To Text Transformers from scratch - One line of Pytorch at a time!
