@rahulgupta046796

"MedAI" is an innovative application designed to provide accurate and efficient medical question and answer services. Built with React for the frontend and Node for the backend, the app uses QDrant embeddings to retrieve relevant answers for user queries. The medical dataset is processed by a Python script powered by Hugging Face, while Cohere API generates embeddings for cosine similarity computations. This approach leads to a high level of accuracy and enables the app to quickly retrieve the most appropriate answers. Overall, "MedAI" offers a powerful tool for medical professionals and individuals seeking medical information.

🗓️ Take part in this 7-day virtual hackathon from March 10 to March 17! 💻 Create AI applications utilizing Cohere's LLM-powered Multilingual Text Understanding model and Qdrant's vector search engine. ✔️ Are you new to AI or an experienced data scientist? Designer, or business developer? Regardless of your experience and background, we welcome you and value your domain expertise. 🐱‍💻 Join us for free and let's get started!

A new text-to-image model called Stable Diffusion is set to change the game once again ⚡️. Stable Diffusion is a latent diffusion model that is capable of generating detailed images from text descriptions. It can also be used for tasks such as inpainting, outpainting, and image-to-image translations. Join us for a epic stable diffusion makers event 11-13 November 👊