Building a Large Language Model (LLM) from scratch is one of the most ambitious and rewarding projects in modern artificial intelligence. While many developers rely on pre-trained models from Hugging Face or OpenAI, constructing your own foundation model provides unparalleled insight into how these systems truly function.

Perplexity: A mathematical measure of how well the model predicts a sample.

Cleaning & Filtering: Removing noise (HTML tags, duplicates), handling missing data, and redacting sensitive information to ensure safety and performance.

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