Language model fine-tuning

The remarkable success of large-scale pretraining followed by task-specific fine-tuning for language modeling has established this approach as a regular practice. Similarly, computer vision methods are progressively embracing extensive data scales for pretraining. The...

In today's fast-paced Artificial Intelligence (AI) world, fine-tuning Large Language Models (LLMs) has grow to be essential. This process goes beyond simply enhancing these models and customizing them to satisfy specific needs more precisely....

import torch import torch.nn.functional as F class DPOTrainer: def __init__(self, model, ref_model, beta=0.1, lr=1e-5): self.model = model self.ref_model =...