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RE: LeoThread 2025-03-07 13:11

in LeoFinance7 months ago

Part 4/9:

With the recent unveiling of the capabilities of GPT-4, which reportedly utilizes 1.8 trillion parameters to enhance performance, the expectation was that increasing size would yield superior results. However, the reality reveals a wall of diminishing returns where simply augmenting the scale of models and computational capacity does not significantly improve their performance. Current research suggests a reality where lesser data availability constrains the effectiveness of models, as the amount of data required for training could soon exceed the available data in existence.

Breaking Down the Functionality of AI Models