The AI Hackathon Diaries
The AI Hackathon Diaries
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Fully grasp demographics in their focus on users (e.g. you will find significant discrepancies in generations of nursing workforce And the way they look at tech)
- Impression: Does the proposed trouble seem sensible or be helpful to anybody? How substantial may be the effect on the Solana ecosystem?
We endorse possessing a crew of four – 6 people to work collectively over the hackathon and Make out your products. When you have a crew and an plan for what your project will probably be, it is possible to join at the url in this article.
Optional: Look at data transparency and traceability by generating out there a “information card” revealing the source, intent and origins of any obtainable facts.
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Folks who do the job together everyday usually are inclined to share the identical viewpoint, get inspired with the same matters, and pick answers that labored for them Formerly.
This isn’t nearly scripts; it’s about developing figures which have been alive inside the game’s planet.2.
To create a chatbot, the contributors will need to know Python, AI, and NLP. Person messages must be identified and responded to as correct. The opportunity to respond to numerous messages will make your hackathon application jump out.
Deliver code on need making use of AI. Cody also unblocks you after you’re jumping into new assignments or striving to be familiar with legacy code.
Individual Training and Interaction: AI-driven chatbots or virtual assistants will help in educating individuals regarding their conditions, medicines, and discharge Guidance. They could also deal with program inquiries, releasing up nurses to target much more sophisticated patient interactions.
Unquestionably liked applying Cody in VSCode for the previous few months. It has been a video game-changer for me. The way in which it summarises code more info blocks and fills in gaps in log statements, mistake messages, and code responses is incredibly good.
Cody utilizes your code graph moreover Code Research to autocomplete, make clear, and edit your code with more context.
Can consumers understand how the generative AI product arrived at its outputs? Is the method transparent and explainable?
Does the task showcase creative contemplating in how generative AI is placed on the qualified location?