jla524/road-to-llm
A learning roadmap from the tensor to large language models (LLMs).
This project offers a structured learning path for understanding the foundational concepts behind large language models (LLMs). It guides you from basic mathematical building blocks like tensors through key research papers on neural networks and transformer architectures. It's for data scientists, machine learning engineers, and AI researchers who want to build a deep theoretical understanding of modern AI.
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Use this if you are a machine learning practitioner looking for a curated sequence of academic papers and resources to master the underlying principles of LLMs and deep learning.
Not ideal if you are looking for a practical, code-focused guide to using existing LLM APIs or frameworks without diving deep into the theory.
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Sep 18, 2024
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