region:us
Model Description
ElderGPT is an AI application tailored to enhance mobile technology accessibility for the elderly. This model aims to simplify smartphone usage, addressing the challenges many seniors face with standard mobile applications. ElderGPT serves as a one-stop solution, integrating with various applications and leveraging large language models to facilitate easier information extraction.

Intended Use
Target Audience: Primarily designed for senior who find smartphone applications challenging to navigate.
Applications: ElderGPT integrates APIs for functions like maps, news, reminders, and more, providing a simplified, voice-activated interface.

Model Details
Model Architecture: Fine-tuned using LoRA on a Llama2-7b model.
Training Approach: Fine-tuning with 30 instruct-response pairs for each functionality, focusing on the interests and needs of older adults.
Dataset: Specific datasets prepared for functionalities like food delivery, news, navigation, and reminders.

Hyperparameters and Training
Optimal hyperparameters include fewer epochs, smaller batch sizes, and a lower learning rate.

Plans for further development include more API support, additional demonstration data, and training a reward model for RLHF.
Accessibility

LangChain code hosted on GitHub.