Rumored Buzz on AI Hackathon
Rumored Buzz on AI Hackathon
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Have sponsorship and/or point of view from senior nursing and clinical leaders of their respective businesses
Just about every division can have a winning group and runner-up. The general ideal Remedy and team is going to be selected throughout all a few divisions.
Performant Don’t sacrifice overall performance for Value. Granite outperforms equivalent models1 across a number of company tasks.
Footnotes 1Performance of Granite styles conducted by IBM Research in opposition to major open up styles across each educational and business benchmarks -
A breakdown of prizes is detailed down below (Observe: There may be additional prizes included in Just about every division from sponsors that indicator-on towards the occasion, primary up on the Kick-Off occasion).
You can take part solo or ask for to get assigned to some workforce (greatest of five associates). Groups won't be assigned more customers.
AI hackathons enable data experts to unravel authentic-earth knowledge problems utilizing artificial intelligence and device Discovering. To maximize human possible, they leverage AI to build Inventive options.
LLM Transparency: more info If you choose not to implement Azure’s OpenAI API, you must offer an evidence from the reasoning that led you to a unique Remedy. This could be completed inside your closing presentation deck.
A result of the rising level of popularity of AI, facial recognition has grown to be highly regarded. You need to use it to detect famous people today in images.
Patient Schooling and Interaction: AI-pushed chatbots or Digital assistants may help in educating individuals regarding their disorders, prescription drugs, and discharge Guidelines. They also can handle program inquiries, freeing up nurses to center on far more intricate affected individual interactions.
This could lessen the load on human trainers and make sure that all nurses obtain steady details.
Are there actions in position to make sure affected person information privacy and ethical concerns while in the generative AI Resolution?
Can users know how the generative AI model arrived at its outputs? Is the procedure clear and explainable?
Notice: NTT Information and Microsoft are going to be accessible for technical guidance in the course of open up office hrs to assist tackle possible complex difficult with OpenAI performance