Preference

The response of artificial intelligence (AI) is inconsistent, and there are not any values ​​or preferences. Not surprisingly, this was emphasized on the premise that a big language model (LLM) couldn't have the identical...

A groundbreaking recent technique, developed by a team of researchers from Meta, UC Berkeley, and NYU, guarantees to reinforce how AI systems approach general tasks. Referred to as “Thought Preference Optimization” (TPO), this method...

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 =...

A less expensive alignment method performing in addition to DPOThere are actually many methods to align large language models (LLMs) with human preferences. Reinforcement learning with human feedback (RLHF) was one in all the...