As businesses increasingly seek AI models tailored to their unique needs, fine-tuning Large Language Models (LLMs) has emerged as a powerful customization strategy—enhancing accuracy, efficiency, and domain relevance. However, fine-tuning involves key opportunities such as hyperparameter tuning, model evaluation, and performance monitoring to ensure optimal results. Join this webinar to learn how fine-tuning can unlock new AI capabilities for your team.
What to expect
In this webinar, we’ll explore the benefits and opportunities of fine-tuning in Azure OpenAI Service, highlight real-world industry applications, and demonstrate how Azure OpenAI Service seamlessly integrates with Weights & Biases to track, evaluate, and optimize fine-tuned models.
We’ll also show you how to fine-tune the latest GPT models, track experiments and run evaluations in the Weights & Biases platform.
What you'll learn
Strategies for using fine-tuning to unlock new AI capabilities across industries
How Azure OpenAI Service and Weights & Biases are working together to enable scalable, explainable model optimization
Approaches for fine-tuning the latest GPT models and tracking experiments in the Weights & Biases platform
Best practices and the future vision of how fine-tuning can further power agentic AI
Webinar
