Llama 2 is an updated version of Llama 1 that increased its pretraining corpus by $$40\%$$. This expansion in training data allowed it to achieve performance levels that are competitive with many closed-source product models.

Claude

Llama 1 is an open-sourced large language model designed with a focus on computational efficiency during inference. By training on a larger number of tokens than was typical for its size, it managed to outperform much larger language models.

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