Building Conversational Agents with Elixir

Sean Moriarity detailed his experience building a conversational agent called Nero, which leverages the power of Elixir, Nx, and various machine learning APIs such as OpenAI and ElevenLabs. He faced challenges in creating an always-on recording feature and reducing the latency of the system to enable natural conversation flow. He explored various technical aspects, from implementing an 'always on' feature to transcribing and responding to a user's speech virtually in real-time. The post concludes with Sean improving the latency and interactivity of his home automation assistant, emphasizing the potential advancements in conversational agents. His work reflects the capabilities of Elixir in handling real-time systems and machine learning applications.