From ML to AGI: Parspec’s AI Lead, Saurabh Khemka on Building Smarter Construction Models

Summary

In this conversation, Saurabh Khemka, AI lead at Parspec, shares his extensive experience in the AI field, discussing his career highlights, the impact of generative AI and LLMs, and the challenges faced in developing AI models for the construction industry. He emphasizes the importance of balancing the use of LLMs with practical considerations and offers insights into preparing for the AGI era. Saurabh also reflects on the evolving nature of AI and provides advice for aspiring professionals in the field.

 

Takeaways

• Saurabh has been in the AI field since 2011.
• Generative AI has made AI applications more accessible.
• The core research aspect of data science is diminishing.
• LLMs can be beneficial but are not suitable for all use cases.
• Balancing latency and deployment costs is crucial in AI.
• The construction industry presents unique challenges for AI.
• Staying updated in AI requires reliance on community and peers.
• Li Chen is a significant role model for Saurabh.
• The accuracy of models can improve with proper fine-tuning.
• Exploration of the industry is essential for aspiring AI professionals.

Chapters

00:00 Introduction to AI Leadership at PathSpec 02:54 Career Highlights and Milestones in AI 06:05 The Evolution of AI: From Traditional ML to LLMs 09:03 Strategizing for the AGI Era 12:04 Challenges in AI Model Development for AEC 14:51 Keeping Up with AI Trends and Influences 18:06 Future Aspirations in AI at PathSpec 20:57 Advice for Aspiring AI Professionals

 

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