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#176 - BIG WEEK for OSS! SearchGPT, Lamma 3.1 405B, Mistral Large 2
Last Week in AI
Refinement Over Scale
Adjusting the step size of learning models allows for more careful exploration of deeper insights without overshooting potential breakthroughs. While smaller models like LAMA38B benefit from refined training techniques, larger models such as the 405 billion parameter Behemoth show negligible improvements, indicating their strong in-context learning capabilities. This suggests that the sheer size of a model can overshadow the need for fine-tuning, as generality can dominate specificity. Ultimately, achieving scale enhances performance but does not completely resolve all challenges in model training.
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