Inspiration
We were inspired by large language models to create a connections ai.
What it does
It attempts to solve games of connections by returning guessing as lists of 4 words. It takes in a list of 16 characters and based on how successful previous guesses were it attempts to solve future guesses
How we built it
We used a large language model, trained it to predict words based on category, context as well as existing datasets.
Challenges we ran into
We had issues with the prediction of the words as it consistently confused context.
Accomplishments that we're proud of
We're proud of achieving 90/90 on the autograder based on set and our fallback LLM is also really cool.
What we learned
We learned a lot about training a model from set data and how to contextualize synonyms
What's next for Connections AI
We plan on making it more accurate in the future!
Built With
- chatgpt
- pandas
- sentence-recognition
- spacy
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