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Earlier this yr, Databricks launched Dolly 2.0: the world’s first really 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 circumstances, purposes, and methods showcasing LLMs. Between the 2 occasions, we had over 1,000 members with over 70 tasks submitted!
Let’s take a second to showcase the successful 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 workforce (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 workforce of as much as 4 individuals. Take a look at the complete challenge gallery right here.
First Place: DataDM, your open supply personal knowledge assistant.
Gus Eggert, Mike Biven, Justin Waugh, Kevin Huo
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, function engineering, knowledge cleansing, query answering, visualizations, and even some knowledge science modeling. They will deliver 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 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 data from the sufferers’ medical information and up to date drug analysis to create a compelling letter. These letters would each save clinicians worthwhile time and cut back the time sufferers want to attend to obtain their life-saving most cancers care.
Third place: Struggle Well being Insurance coverage, Mechanically generated medical insurance appeals. )
Holden developed Struggle Well being Insurance coverage, which generates medical insurance appeals to decrease the barrier to entry for people who wish to attraction insurance coverage declare denials. Struggle 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 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 workforce of as much as 4 individuals. Shoutout to MLH and the workforce, Alba King, Fiona Whittington and Paul Horton, for ensuring the attendees had a enjoyable and significant expertise.
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 individuals with situations that require treatment create, preserve and keep on schedule for taking their treatment. Joshua Bowron, Richard Ryman, Himanshu Grover, and Max Mogenis
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
Large congratulations to those creators! Thanks for uplifting us to proceed to maintain constructing and rising collectively, and for showcasing the highly effective influence LLMs can have throughout use circumstances.
Need to be taught extra about utilizing and constructing your individual Massive Language Fashions? Take a look at Databricks’ expert-led EdEx programs!
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