Semantic Folding for Natural Language Understanding with Francisco Weber - #451
Analysis
This article summarizes a podcast episode featuring Francisco Webber, CEO of Cortical.io, discussing semantic folding for natural language understanding. The conversation covers Cortical.io's applications and toolkit, including semantic extraction, classification, and search. It also compares their approach to GPT-3, highlighting the differences in data requirements and modeling techniques. The episode provides insights into the evolution of Cortical.io's technology and its position in the landscape of natural language processing, contrasting it with the more data-intensive approach of models like GPT-3.
Key Takeaways
“The conversation gives an update on Cortical, including their applications and toolkit, including semantic extraction, classifier, and search use cases.”