Internship Master: Developing a retrieval-augmented virtual assistant

Rapid advancements in deep learning technology have led to the rise of Large Language Models (LLMs), which are capable of generating context-aware, human-like responses to queries. While many of such models are publicly available and perform great on general tasks, they often fall short in domain-specific tasks, making them less effective for specialized industries. Developing a domain-specific LLMs from scratch is prohibitively expensive for the majority of companies, which is why a technique called ‘Retrieval Augmented Generation’ (RAG) has recently gained traction. RAG enhances existing LLMs with data retrieval capabilities, allowing them to pull from sources like technical manuals, internal documentation or even SQL databases to provide more precise, context-aware responses when interacting with a user.

At Bestmix Software, we aim to stay at the forefront of innovation. Because we always look to provide the best services for our customers, our next step is to develop our own virtual assistant to provide customer support, streamline workflows and enhance training programs. To make this vision a reality, we are looking for a motivated master’s student with a background in data science to help us build and refine a RAG-powered AI assistant.