A fine-tuned AI Mallbot - using OpenAI API, Netlify, and Google Cloud Functions. Developed "Mallbot" for store location assistance and general mall inquiries.
- Developed a custom mall assistant bot called "Mallbot" through the fine-tuning of a language model.
- Performed fine-tuning on a pre-trained model using proprietary data, resulting in a highly specialized and context-aware conversational AI system.
- Crafted responses tailored to user queries by training the model on a dataset stored in a structured JSONL format.
- Generated custom fine-tuned data, enhancing the bot's understanding and providing accurate and relevant responses to user inquiries.
- Improved the model's performance by optimizing hyperparameters, including the use of n_epochs to increase the response rate.
- Implemented a serverless function for secure retrieval of the OpenAI API key, ensuring efficient and secure communication with external services.
This project showcases my proficiency in natural language processing, data fine-tuning, and your ability to build practical AI solutions.
- OpenAI
- Netlify
- Google Cloud Functions
- JavaScript
- JSONL
- AI Fine-tuning
- Conversational AI: Mallbot provides context-aware responses for store location assistance and mall-related queries.
- Fine-tuned Data: The model is trained on custom fine-tuned data for improved performance.
- Secure Communication: Securely communicate with external services using serverless functions.
This project relies on the following technologies and libraries:
This project was made possible by the OpenAI API, enabling powerful natural language processing capabilities. Special thanks to the OpenAI team for their contributions to the field.
Feel free to explore the code and documentation to learn more about Mallbot and its capabilities.