AI_dev Europe 2024

In AI literacy and education, the challenge lies in bridging the gap between general-purpose Large Language Models (LLMs) and the specific needs of diverse learning communities. This talk, explores the innovative application of Rust in developing Retrieval-Augmented Generation (RAG)-based ChatGPT agents. By leveraging RAG and vector databases, educators and developers can create LLM agents tailored to specific domains, such as certain programming languages like python, machine learning, or cutting edge LLM related thesis like papers on Sora, enhancing people's AI knowledge relevance and accuracy. Miley will share insights from creating a Rust-powered RAG bot, demonstrating how this approach simplifies the integration of domain knowledge into LLMs, making AI education more accessible and effective. Attendees will learn practical steps to implement their domain-specific LLM agents, fostering a more literate and empowered AI community.