Can OpenAI’s GPT model, fine-tuned with our collective preferences, help identify the perfect match for us? Consider this: If a thousand participants label their most and least favored answers for 100 intriguing questions, and we then use this labeled data to fine-tune OpenAIs GPT, would the model be adept enough to identify ten individuals who could be potential close companions for you? Could one of these ten even become a significant figure in your life?
Our dataset comprises 2,000 distinct questions, with a staggering 70,000+ voice-recorded answers. Rest assured, you wont be matched with anyone from the initial dataset. After all, you wouldnt need GPT to connect you with voices youve already heard. Instead, the GPTs task is to introduce you to one of the 1,000 experiment participants. This is our way to gauge GPTs prowess (or lack thereof) in this particular realm. As you rank answers for your selected questions, youll have the chance to record your own response and, if you wish, share it with the community behind the datasets creation to potentially start new conversations.
Are you intrigued by the potential impact of GPT fine-tuned on our collective data? If so, we welcome you to be a part of this exciting journey. As soon as we reach 1,000 participants, well initiate the fine-tuning of GPT with this fresh data. Well then run your personalized GPT version against the voice recordings from our 1,000-member group. Youll have access to the answers from your matches, offering you a unique opportunity to listen, connect, and perhaps forge new bonds.