Historically, computers haven’t been particularly good at determining user intent from real-world language inputs. However, the advancement of natural language processing technologies, like ChatGPT, has led to remarkable improvements in AI systems’ accuracy in responding to human queries. In this episode, Amit Prakash, Co-founder of ThoughtSpot, discusses the development of AI and the accountability required to make it ready for daily use.
Tune in to learn:
- What was the problem Amit was trying to solve when he co-founded ThoughtSpot? (04:48)
- When did Amit first start looking at ChatGPT and natural language processing? (08:16)
- Why did ChatGPT explode in 2023? (21:00)
- Is ChatGPT ready for important work and research? (31:26)
- Will ChatGPT spell the end of platforms like ThoughtSpot? (32:41)
Mentions:
- Elements of Programming Interviews in Python, By Adnan Aziz, Tsung-Hsien Lee, Amit Prakash
- Algorithms For Interviews
- Alan Watts
- More coming soon!
About Amit Prakash
Amit is Co-founder and CTO at ThoughtSpot and has deep experience in building large scale analytics systems. Prior to ThoughtSpot, Amit led multiple analytics engineering teams in the Google AdSense businesses, contributing $50M+ quarter-on-quarter growth to the business through improving analytical algorithms for AdSense. Prior to that, Amit was a founding engineering in the Bing team at Microsoft, where he implemented the pagerank algorithms for search from scratch. Amit received his PhD in Computer Engineering from the University of Texas at Austin and a Bachelor of Technology in Electrical Engineering from the Indian Institute of Technology, Kanpur.
Follow Amit on Substack and view his series of blogs on ChatGPT and LLMs. https://amit.thoughtspot.com/
Get even more insights from data and analytics leaders like Amit on The Data Chief.
