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Friday, September 6, 2024

Congratulations to Summer season Hacakthon Winners!


Earlier this 12 months, Databricks launched Dolly 2.0: the world’s first actually open instruction-tuned Massive Language Mannequin (LLM). To construct off this pleasure round LLMs, Databricks hosted two hackathons, one digital, and one in-person, to kick off the annual Information+AI Summit. Information groups from across the globe got here collectively to construct distinctive use instances, purposes, and methods showcasing LLMs. Between the 2 occasions, we had over 1,000 contributors with over 70 tasks submitted!

Let’s take a second to showcase the profitable tasks and spotlight the improbable groups who created them.

Digital Hackathon Winners:

Our digital hackathon was held previous to Information + AI summit in collaboration with the Devpost crew (particular shout-out to Michelle Mind for serving to make this such an enormous success). Contributors had 30 days to submit their tasks and will work in a crew of as much as 4 folks. Try the total mission gallery right here.

First Place: DataDM, your open supply non-public knowledge assistant.

Gus Eggert, Mike Biven, Justin Waugh, Kevin Huo

Watch Video Right here

DataDM is a chatbot interface the place customers discuss to an AI assistant that writes code, which is then executed to reply knowledge questions. Customers can ask questions on knowledge processing, characteristic engineering, knowledge cleansing, query answering, visualizations, and even some knowledge science modeling. They will carry their very own CSVs (that are native and personal) or can simply discover CSVs by way of the GitHub API, each of that are simple to do with a single click on add button.

Second place: Most cancers-Rx-Approve, write letters for most cancers drug denials.

Mitchell Coplan

Watch Video Right here

Mitchell constructed Most cancers-RX, a cloud-based net software that clinicians can use to generate letters to ship to insurance coverage corporations when requests for chemotherapy are denied. The LLM synthesizes info from the sufferers’ medical data and up to date drug analysis to create a compelling letter. These letters would each save clinicians worthwhile time and scale back the time sufferers want to attend to obtain their life-saving most cancers care.

Third place: Battle Well being Insurance coverage, Routinely generated medical health insurance appeals. )

Holden Karau

Watch Video Right here

Holden developed Battle Well being Insurance coverage, which generates medical health insurance appeals to decrease the barrier to entry for people who need to enchantment insurance coverage declare denials. Battle Well being Insurances combines the output of a number of fashions (dolly-v2-12b, BioGPT, and many others.) with California’s public insurance coverage knowledge to generate a (low high quality) artificial dataset for fine-tuning Falcon 7B onwards to generate medical health insurance appeals.

Honorable mentions

Information + AI Summit 2023 Hackathon Winners

Kicking off in-person, Information + AI Summit 2023 attendees joined in on the enjoyable by attending an all-day hackathon centered round LLMs. Contributors had six hours to submit their tasks and will work in a crew of as much as 4 folks. Shoutout to MLH and the crew, Alba King, Fiona Whittington and Paul Horton, for ensuring the attendees had a enjoyable and significant expertise.

Data AI Summit 2023 Hackathon Winners

First place: SchemaSpy, Navigating Database Schemas with AI Help.
by Sai Pradeep Peri, Cameron Hutchison, Khushboo Breja, and Rik Bauwens

Second place:) Pharma Help, Serving to folks with circumstances that require medicine create, keep and keep on schedule for taking their medicine. Joshua Bowron, Richard Ryman, Himanshu Grover, and Max Mogenis

Generation AI

Third place: Commit-With-A-Bang, an AI-Powered Pull Request (PR) engine for easy and insightful code administration.
by Dennis Aguillon, Patrick Younger, Priya Prakshal, and Prakshal Jain

Enormous congratulations to those creators! Thanks for uplifting us to proceed to maintain constructing and rising collectively, and for showcasing the highly effective impression LLMs can have throughout use instances.

Wish to study extra about utilizing and constructing your individual Massive Language Fashions? Try Databricks’ expert-led EdEx programs!

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