
‘Inheritune’ by UT Austin Assists Efficient Language Model Training: Leveraging Inheritance and Reduced Data for Comparable Performance
[ad_1] Scaling up LLMs presents significant challenges due to the immense computational resources needed and the need for high-quality datasets. Typically, the pre-training process involves utilizing models with billions of parameters and training them on […]