Welcome to the Impact of AI: Explored podcast. In this episode
James and Gerjon have a special guest: Sairam Sundaresan AI Engineering Leader | Author of AI for the Rest of Us (https://www.linkedin.com/in/sairam-sundaresan/)
In this conversation, Sairam Sundaresan discusses his work in autonomous driving and the challenges faced in AI development. He emphasizes the importance of understanding AI, addressing misconceptions, and the iterative nature of AI solutions. Sairam also explains concepts like Retrieval Augmented Generation and groundedness in AI responses. The discussion touches on the definition of true AI agents, the hype surrounding AI, and the hidden costs associated with AI technologies. Sairam concludes with insights on focusing on meaningful innovations and the importance of asking better questions in AI interactions.
Takeaways
* Sairam Sundaresan is working on autonomous driving technology.
There is unpredictability in human driving behavior affecting AI development.
* AI is an iterative process that augments human judgment, not replaces it.
* Retrieval Augmented Generation (RAG) enhances AI responses with relevant information.
* Groundedness in AI refers to the accuracy and evidence behind AI-generated answers.
* True AI agents can plan and execute tasks with minimal human intervention.
* The term 'AI agent' is often misused and overhyped in the industry.
* AI failures can provide valuable lessons for future developments.
* The hidden costs of AI include maintenance and environmental impact.
* Asking better questions can significantly improve AI interactions.