Safi Haider@safihaider

Artificial Medical Imaging (AMI) is a technique to visualize the internals of the human body using artificial intelligence based on the patient’s diagnosis made by either real providers or generative AI algorithms. AMI uses Generative Adversarial Networks (GANs) to create or enhance medical images. These images can be generated from scratch by AI algorithms or enhanced and interpreted by AI to aid healthcare professionals in diagnosis, treatment planning, and research. The diagnosis part is done by our Sadiq – a chat with doctor application based on ChatGPT 3.5. The imaging part is done by a feature built into Sadiq based on DALL-E.

Fine-tuning is a technique that empowers pre-trained models to perform specific tasks or behaviors, opening up a world of possibilities for customization and specialization. Dive into the details of this cutting-edge technology and showcase your skills in this fast-paced hackathon!

🗓️ Join us for a week of innovation and excitement on October 16 💻 Harness the power of cutting-edge AI tools to create groundbreaking applications. 💡 Learn from industry-leading AI experts. ⚒️ Combine the power of GPT-3.5, Codex, DALL-E 2, and Whisper to craft your AI masterpiece. 🐱‍💻 Register now to embark on this AI journey with us!

Step into the future of AI: Experience and innovate with the cutting-edge Gemini AI model. First-hand Experience: Dive into the latest AI technology with Gemini AI, right after its release. Elevate your AI knowledge and coding prowess in a stimulating and supportive atmosphere. Team up with like-minded innovators and tech enthusiasts. You can work solo, or in a team of up to 6 members. Enhance your LLM apps with TruLens: Use sophisticated evaluation and performance tracking tools for superior output quality. Note: Dates may change if the Gemini AI model release is postponed by Google Cloud.