Develop a Visual question answering LLM which takes image and question as inputs and returns an answer as output. Developed a multi-modal transformer model for Medical Visual Question Answering (MVQA) using the PathVQA dataset. Fine-tuned a pre-trained BLIP model on proprietary data to enhance accuracy and context-awareness in medical question answering
By clicking on the button above, you agree to Park Intelli solutions Terms, Privacy and Cookie Policies. You also agree to receive future communications from us. You can unsubscribe anytime.
Kindly get in touch with us for business requirements to facilitate a personalized assistance from Parki Solutions.