Exploring AI Integration with Elixir in Modern Applications

Stuart Page, a software engineer, presents on the challenges and opportunities of incorporating AI into software projects, particularly through the use of large language models (LLMs) like ChatGPT. He recounts his journey from experimenting with AI for generating user stories and managing internal knowledge bases to creating more robust solutions using Elixir. He highlights the benefits of Elixir's concurrency, fault tolerance, and the supportive community, while also discussing the limitations of existing tools like LangChain. Stuart explains technical concepts such as retrieval augmented generation (RAG), vector databases, and semantic search. He emphasizes the importance of modularizing code using behaviors and the advantages of streaming AI-generated responses for a better user experience. The talk concludes with a call to action for developers to contribute to open-source projects and consider Elixir for their AI projects.