A Case Study on Microsoft's Ruuh.ai - Is User Growth a Peril to Research Progress?

Explore the challenges and opportunities of balancing business goals and research progress in industrial settings through a case study on Microsoft's Ruuh.ai. Delve into the development of this AI chatbot, designed to engage users on any subject, and examine how research advancements influenced user growth and vice versa. Learn about the trade-offs between product quality, user engagement, and infrastructure demands, using real-world examples from Ruuh's journey. Gain insights into sequence-to-sequence models, retrieval techniques, offensive content detection, emotion understanding, and multimodal input processing in AI chatbots. Discover interesting statistics and perspectives on the interplay between user growth and research progress in the field of conversational AI.

Introduction
About me
About Ruuh
Purpose of Ruuh
Research in Industry
Ship the Product
Sequence to Sequence
Retrieval
Index
Offensive comments
Examples
Summary
Patterns
User Statements
Types of Problems
Emotion Understanding
Offensive Detection
Incidents
User Connect
Conversation
multimodal input
world knowledge
my perspective
interesting stats
questions