Deep Understanding of AI Large Language Models 🤖
Join us on a deep dive into the architecture, mathematics, and implementation of modern Large Language Models (LLMs). This series breaks down complex concepts into digestible modules, starting from the very basics of how machines process text.
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References & Disclaimer
This content is adapted from A deep understanding of AI language model mechanisms. It has been curated and organized for educational purposes on this portfolio. No copyright infringement is intended.
📚 Course Modules
What We'll Cover
- Tokens & Embeddings: How text is transformed into high-dimensional vectors.
- Attention Mechanisms: The "Self-Attention" magic that powers Transformers.
- Transformer Architecture: Building the encoder and decoder from scratch.
- Training & Fine-tuning: From pre-training on the web to instruction tuning.
- Inference & Optimization: Making LLMs fast and efficient.