LLM-Powered Chatbot Platform


Description

Developed a next-generation chatbot to replace a legacy system, leveraging large language models for improved responses. Responsibilities included dataset preparation, fine-tuning and evaluating LLMs, and prompt engineering. Built the backend with FastAPI, containerized with Docker, and integrated MongoDB for conversation history. Implemented a vector database to enable Retrieval-Augmented Generation and applied zero-shot classification transformers for automated output evaluation.

Info

Company: GrabIT Duration: About 6 months

Technologies


Areas of expertise