It's good to have some level of understanding of what happens during pre-training, but hands-on experience is not required. Data pipeline: Pre-training requires huge datasets (e.g., Llama 2 was trained on 2 trillion tokens) that need to be filtered, tokenized, and collated with a pre-...
It's good to have some level of understanding of what happens during pre-training, but hands-on experience is not required. Data pipeline: Pre-training requires huge datasets (e.g., Llama 2 was trained on 2 trillion tokens) that need to be filtered, tokenized, and collated with a pre-...