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- Fine-tune models with Azure AI Foundry - Azure AI Foundry
Fine-tuning customizes a pretrained AI model with additional training on a specific task or dataset to improve performance, add new skills, or enhance accuracy The result is a new, optimized GenAI model based on the provided examples This article walks you through use-cases for fine-tuning and how it helps you in your GenAI journey
- How to export and import a fine-tuned AI model to a different instance . . .
Now, after fine-tuning a model by AI engineers, I want to deploy it to a target instance that is different from the source training instance However, I cannot choose the target instance as the option is grayed out, here in Azure AI Studio
- Whats New in Azure AI Foundry Fine-Tuning | Build 2025
With fine-grained evaluation metrics, you can identify performance gaps, validate task-specific accuracy, and fine-tune your models for the exact outcomes you need Stored Completions: Automatically capture model outputs during evaluation, providing rich insights into real-world performance
- Fine-tuning and distillation with Azure AI Foundry
Enhance your AI models using advanced fine‑tuning and distillation techniques that deliver higher accuracy and efficiency This session explores the latest techniques in Direct Preference Optimization (DPO), Reward Fine-Tuning (RFT), and model distillation within Azure OpenAI
- azure-ai-docs articles ai-foundry concepts fine-tuning . . . - GitHub
Fine-tuning customizes a pretrained AI model with additional training on a specific task or dataset to improve performance, add new skills, or enhance accuracy The result is a new, optimized GenAI model based on the provided examples This article walks you through use-cases for fine-tuning and how it helps you in your GenAI journey
- Fine-tune models using standard deployments in Azure AI Foundry
Azure AI Foundry enables you to customize large language models to your specific datasets through a process called fine-tuning This process offers significant benefits by allowing for customization and optimization tailored to specific tasks and applications
- Announcing new fine-tuning models and techniques in Azure AI Foundry . . .
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 soon, and Supervised Fine-Tuning (SFT) for the 4 1-nano model, available now
- Fine-Tuning Language Models with Azure AI Foundry: A Detailed Guide
Fine-tuning is the process of taking a pre-trained model and adapting it to a specific dataset or task This is particularly useful when the base model has been trained on a large corpus of general data but needs to perform well on a narrower domain Why Fine-Tune?
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