Building an LLM from Scratch: Automatic Differentiation (2023)
Published:Feb 15, 2024 20:01
•1 min read
•Hacker News
Analysis
The article likely discusses the implementation of a Large Language Model (LLM) focusing on the mathematical technique of automatic differentiation. This suggests a technical deep dive into the inner workings of LLMs, potentially covering topics like gradient calculation and backpropagation. The 'from scratch' aspect implies a focus on understanding the fundamental building blocks rather than using pre-built libraries.
Key Takeaways
- •Focus on the mathematical foundations of LLMs, specifically automatic differentiation.
- •Likely provides insights into gradient calculation and backpropagation.
- •Emphasizes a 'from scratch' approach, promoting a deeper understanding of LLM components.
Reference
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