AI & Machine Learning

From Raw Text to Language Model: Building GPT-2 From Scratch

Ali Nemati10 hours ago29 sec read4 views0 listens

Building a GPT-2 style language model from scratch reveals the intricate design decisions and mathematical principles behind modern large language models. This approach provides developers with deep insights into tokenization, training processes, and architectural choices like attention mechanisms and residual connections, making the internal workings of transformers more transparent.

Understanding these mechanics is crucial for optimizing and fine-tuning models, enabling tech professionals to better leverage and innovate within AI frameworks.

Read the full article at Towards AI - Medium

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