Large Language Models and Knowledge Graphs: A Journey Towards Collaborative Intelligence
A lot has been written about Generative AI (GenAI) powered by transformer based large language models (LLM). OpenAI in sync with Microsoft clearly leads the table with Google and other big players and a bunch of innovative open source options in the fray.
As with any other technology with potential for disruption in varied fields and diverse candidate use cases, attendant hype is in step, causing a lot of confusion.
In the late 1980s, as a young enthusiast working with Expert Systems, I was captivated by the promise of rules-based symbolic AI. I witnessed firsthand the power of these systems and the transformative potential they held. Yet, a challenge remained — it was impossible to manually capture all the nuanced knowledge of human experts into these systems.
Rule Definition: “Chair”
Try to define a chair with logic rules.
Dilip Ittyera
4X founder with 35+ years building enterprise knowledge systems. Former CTO at Zensar, NIIT Technologies, and Hexaware. His work on organizational transformation was featured as a Harvard Business School case study. At CogniSwitch, he's focused on making AI reliable enough for regulated industries.