Re: Is 10 trillion tokens good?
A Massive Leap Forward: Comparing 10 Trillion Tokens to Llama
10 trillion tokens is a staggering amount of training data, significantly larger than what models like Llama were trained on.
Llama: Trained on a dataset of 1.4 trillion tokens.
This means a 10 trillion token dataset is approximately 7 times larger than Llama's. Such a massive increase could potentially lead to significant improvements in a model's capabilities, including:
Enhanced language understanding: Exposure to a wider variety of linguistic patterns.
Improved text generation: Ability to produce more coherent and informative text.
Better performance on various tasks: Such as translation, summarization, and question answering.
Specific details about Llama:
Model size: Varies depending on the specific version, but typically ranges from 7 billion to 24 billion parameters.
Architecture: Based on the Transformer architecture, a popular choice for language models.
Training data: Primarily sourced from public datasets like BooksCorpus and Wikipedia.