VLM model finetuning and deployment

VLM finetuning allows you to adapt pre-trained multimodal models to better handle specific types of images and tasks relevant to your use case. Here are some key aspects:

• Better handling of specialized visual patterns and features
• Optimize for specific tasks like detailed product descriptions from images, Medical diagnosis from scans
• Customization Options like Image embedding finetuning, Language decoder finetuning

We have added support for vision language model finetuning and deployment, vision language models are the latest development in the field. They add support for even sending images as input during inference. finetuning it , allows you to customize the performance for your data.