Google DeepMind and UCL experts have released a ๐ณ๐ฟ๐ฒ๐ฒ, hands-on curriculum. It covers the fundamentals of building and fine-tuning language models, including data preparation, neural networks, and the transformer architecture.
Hereโs a look at what the courses cover:
- ๐๐๐ถ๐น๐ฑ ๐ฌ๐ผ๐๐ฟ ๐ข๐๐ป ๐ฆ๐บ๐ฎ๐น๐น ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น: Learn the fundamentals of LMs, from traditional n-grams to modern transformers.
- ๐ฅ๐ฒ๐ฝ๐ฟ๐ฒ๐๐ฒ๐ป๐ ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐๐ฎ๐๐ฎ: Dive deep into preparing text data with tokenization and embeddings.
- ๐๐ฒ๐๐ถ๐ด๐ป ๐๐ป๐ฑ ๐ง๐ฟ๐ฎ๐ถ๐ป ๐ก๐ฒ๐๐ฟ๐ฎ๐น ๐ก๐ฒ๐๐๐ผ๐ฟ๐ธ๐: Understand the training process, how to spot overfitting, and implement neural networks.
- ๐๐ถ๐๐ฐ๐ผ๐๐ฒ๐ฟ ๐ง๐ต๐ฒ ๐ง๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ๐ฒ๐ฟ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ: Explore the mechanisms of transformers, including the all-important attention mechanism.
- ๐ง๐ฟ๐ฎ๐ถ๐ป ๐ฎ ๐ฆ๐บ๐ฎ๐น๐น ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น (๐๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ ๐๐ฎ๐ฏ): Apply everything you’ve learned in a final challenge to build a character-based model from scratch.
Learn more: https://www.skills.google/collections/deepmind
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