The smart Trick of AI Hackathon That No One is Discussing
The smart Trick of AI Hackathon That No One is Discussing
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Submit education quantization of Granite-3.0-8B-Instruct in Python with watsonx Quantize a pre-properly trained model in a handful of other ways to indicate the size in the designs and Examine how they perform over a endeavor
This five-week hackathon will bring together the brightest minds in healthcare and technological know-how to unravel serious-world troubles for nursed utilizing AI.
Make AI equipment that can allow private but verifiable sharing & instruction on datasets. Let protected buying and selling or querying of data on open marketplaces or platforms. For instance, decentralized variations of Hugging Facial area or Kaggle.
Browse Granite for code documentation Get code models on Hugging Encounter Granite for time series Light-weight and pre-experienced for time-collection forecasting, optimized to operate successfully across A variety of hardware configurations.
Does the job contain sophisticated technological implementation, indicating a superior volume of talent and abilities?
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Settle on a moral code. Technology occasions are notorious for not welcoming Girls or minorities. Consider altering that by using a code of carry out.
To create a chatbot, the participants will require to be aware of Python, AI, and NLP. User messages ought to be determined and responded to as acceptable. The opportunity to respond to many messages makes your hackathon software stick out.
In the situation of parallel tracks, all participants will gather in a single place At the beginning of the party, so your maximum potential will be higher. People can stand or squeeze at the start.
Client Instruction and Communication: AI-driven chatbots or Digital assistants can help in educating patients with regards to their conditions, medications, and discharge instructions. They can also handle routine inquiries, releasing up nurses to focus on extra complex affected individual interactions.
Can the answer be scaled up to deal with larger sized volumes of data and usage devoid of significant degradation in general performance?
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What if I've a pre-constructed Resolution that I’d prefer to bring to the hackathon and showcase as A part of my workforce’s use circumstance variety?
Observe: NTT Data and Microsoft will probably be obtainable for technological assistance all through open up office hours that will help deal with likely complex difficult with OpenAI operation