This AI Study Navigates Large Language Model (LLM) Pre-training With Down-streaming Capability Analysis

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Large Language Models (LLMs) have become extremely popular as they can perform complex reasoning tasks in a variety of fields, including creative writing and programming. However, they are computationally expensive to construct and optimize, especially when pretraining on large datasets.  Researchers have presented scaling equations that show the relationship between pretraining loss and computational effort in order to reduce these expenses. Even though these rules have been very helpful in understanding how to optimise models while using the least amount of computational power, new research indicates that they might not adequately represent LLMs' capabilities, particularly in downstream tasks. Thus, it

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