LLM from scratch, part 28 – training a base model from scratch on an RTX 3090
Analysis
The article describes the process of training a Large Language Model (LLM) from scratch, specifically focusing on the hardware used (RTX 3090). This suggests a technical deep dive into the practical aspects of LLM development, likely covering topics like data preparation, model architecture, training procedures, and performance evaluation. The 'part 28' indicates a series, implying a detailed and ongoing exploration of the subject.
Key Takeaways
Reference
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