Antler pitch : RAG with LLM ( gemini) Debate between AI and human

video1.0<iframe src="https://www.loom.com/embed/56158b09dc4046d2b4894e7837b7612d" frameborder="0" width="1078" height="808" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8081078Loomhttps://www.loom.com8081078https://cdn.loom.com/sessions/thumbnails/56158b09dc4046d2b4894e7837b7612d-66083ef6251d6f5e.gif158.2678Antler pitch : RAG with LLM ( gemini) Debate between AI and humanI’m building an AI-powered personal agent that combines LLM fine-tuning, Retrieval-Augmented Generation (RAG), and real-time multimodal interfaces to create an interactive, human-like knowledge companion. • The agent is trained on my professional identity dataset to reflect my expertise, communication style, and decision-making patterns. • It is RAG-enabled with curated datasets from the battery electric vehicle (EV) and automotive industry, making it highly domain-aware and capable of delivering context-rich insights. • The interaction layer uses voice synthesis (via ElevenLabs) and real-time avatar animation, enabling the agent to converse naturally with humans, presenting knowledge and insights as if you were engaging with me directly.