Browsing: finetuning

import dataclasses import tokenizersimport torchimport torch.nn as nnimport torch.nn.functional as Ffrom torch import Tensor  # Model architecture same as training script@dataclasses.dataclassclass LlamaConfig:    “””Define…

Today, I’m happy to announce new serverless customization in Amazon SageMaker AI for popular AI models, such as Amazon Nova,…

Organizations face a challenging trade-off when adapting AI models to their specific business needs: settle for generic models that produce…

Autonomous workflows, powered by real-time feedback and continuous learning, are becoming essential for productivity and decision-making. In the early days…

The rapid growth of artificial intelligence has come with skyrocketing costs. Training large language models (LLMs) has become so expensive…

Making these algorithms work for LLMs If we run these algorithms “out-of-the-box” for LLMs, things go badly. So, we came…

Today, we’re excited to announce two major enhancements to model fine-tuning in Azure AI Foundry—Reinforcement Fine-Tuning (RFT) with o4-mini, coming…