Fine-tuning Vision-Language Models: From Dataset to Deployed Model

Experience the full lifecycle of a vision-language model with DeepExtension! In this walkthrough video, we demonstrate how to: - Upload and manage a multimodal dataset with bounding box annotations - Launch fine-tuning using our VL SFT (Vision-Language Supervised Fine-Tuning) pipeline - Test your model in real-time using DeepPrompt with images - Save, deploy, and register the trained model in just a few clicks - Integrate with tools like Ollama for local inference Whether you're building AI solutions in manufacturing, healthcare, or research — this visual intelligence workflow helps you turn data into smart insights. DeepExtension empowers enterprises to train, deploy, and manage fine-tuned AI models without the ML complexity. Try DeepExtension today: https://www.deepextension.ai Documentation: Tutorials → Quick Start → Run your first VL SFT training Don’t forget to like, comment, and subscribe for more enterprise AI tools & tips! #VisionLanguageModel #AIforBusiness #DeepExtension #MultimodalAI #ModelFineTuning #Ollama #EnterpriseAI