Milestone 3 :
Text similarity model and results: This last portion of our Milestone focused on using the embedded data to preform testing and tuning to see which model preforms the best under specific settings, or tuning using feed forward blocks.
Milestone 2 :
Text processing and structure. The team will apply text processing techniques to build model-ready data for the answer and sentence level of each response. Specifically, the text will be transformed into part-of-speech tags (e.g., noun, verb, prep., etc.) as well as processed by public AI language models.Â
Milestone 2 Presentation
Milestone 1 :
Text collection and preparation. The team is provided with sample data to follow and collect our own datasets. More specifically, the team will build a text dataset in the format {question, human_answer}. Then, for each question, the team will generate responses from ChatGPT (at least two responses). Finally, the team will apply AI-paraphrasing technologies to generate different versions of the responses. Several products will be delivered such as: PowerPoint presentation/video, updated Gannt chart, research paper draft, updated website, and weekly report updates. Please see the documentation page to view these files.
Milestone 1 Presentation