theivanyeung / tars

A personal assistance capable of acting on its own and helps with managing tasks, schedules, and reminders, as well as answer questions and provide recommendations.

Collect TARS Dialogue Data: The first step would be to gather a dataset of TARS' dialogue from the movie Interstellar. You can extract dialogue data from the movie's script or use existing datasets that include TARS' dialogue. This dataset will be used to train the language model.

Fine-tune GPT-3: After collecting the dataset, the next step is to fine-tune GPT-3 on the TARS dialogue data. You can use a tool like Hugging Face's Transformers library to fine-tune the GPT-3 model on your dataset.

Develop a Personality Model: Once you've fine-tuned GPT-3, you can develop a personality model for TARS. This model should include TARS' unique characteristics, such as his sense of humor, logical thinking, and monotone voice. You can use this personality model to guide the language model's responses.

Use a Neural TTS System: To generate speech that sounds like TARS, you can use a neural TTS system like Tacotron 2 or WaveNet. You can feed the language model's responses to the TTS system to generate TARS-like speech.

Test and Refine the Model: Finally, you can test and refine the AI model by having it interact with users and monitoring its performance. You can continue to fine-tune the model and update the personality model based on user feedback and data.