Al and LLMs have shown significant advancements in natural language understanding and generation. However, there is still a gap in the market for a comprehensive solution that can effectively synthesize information from multiple sources and present it in an intuitive, user-friendly manner.
The project aims to create a unified product that enables agent-to-agent interaction. This ‘Al reporter’ will be capable of analyzing articles stored in a database, extracting relevant information, and presenting it to the end user in a clear, concise, and visually appealing manner based on their specific queries. To enhance the user experience (UX) of the conversation, the system will incorporate speech generation and captions, making the interaction more engaging and accessible.