Dive into a thought-provoking podcast episode featuring Shaun Wei, CEO & Co-Founder of RealChar, as he discusses the future of AI and consumer empowerment. Explore the groundbreaking work of RealChar's consumer application, Rivia, which leverages Generative AI and Traditional Machine Learning to handle mundane phone calls and customer service interactions. Learn about the technical challenges in AI production, including real-time data processing, model selection, and event-driven architecture. Gain insights into the importance of product reliability, training data, and model performance in AI applications. Discover how AI is revolutionizing customer service and the strategies for navigating challenges in this rapidly evolving field. This 57-minute discussion covers a wide range of topics, from AI scheduling and assistance to multimodal integration in self-driving cars, offering valuable insights for anyone interested in the future of AI and its impact on consumer empowerment.
AI Agents for Consumers - The Future of AI and Consumer Empowerment
Overview
Syllabus
[] Shaun's preferred coffee
[] Takeaways
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[] AI in Production: Challenges & Insights
[] AI Scheduling and Assistance
[] Technical Challenges in AI
[12:36 - ] LatticeFlow Ad
[] Handling Challenges in AI
[] Learning driving and technical aspects
[] Self-Driving Cars: Multimodal Integration
[] Processing data with Transformers
[] Real-time phone data gathering
[] Real-time observability in AI
[] Time to first token
[] Preferred vs. Dynamic Model Selection
[] Event-driven architecture basics
[] Navigating challenges together
[] Challenges with Inconsistent Responses
[] Importance of product reliability
[] Training Data and Model Performance
[] Exploring AI in Customer Service
[] Navigating challenges in AI
[] Excited Launch Strategy Advice
[] Wrap up
Taught by
MLOps.community
