No Generalization without Understanding and Explanation
LLMs, at least in their generative capabilities, will never be able to perform high-level reasoning like what's needed in deep language understanding, problem solving, and planning.
Walid Saba
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Let’s Be Objective about Large Language Models
Credit: Walid S. SabaCreated using Generative AI Tools 1. Large Language Models: The End of History? Since the advent of the transformer and attention mechanisms [1] large language models (LLMs) have been all the rage, not only in the artificial intelligence (AI) community but in all of science and technology and even in business and […]
This is a plea to the technical community working in the domain of natural language processing and natural language understanding to appreciate the difference between the two, and to set some standards in the public media that seem now to be seriously inappropriate.
Commenting on Code, Considering Data’s Bottleneck
Edwin Torres considers the enduring value of code comments, while Walid Saba wonders if we have overreacted to the knowledge acquisition bottleneck.
Did We Just Replace the ‘Knowledge Bottleneck’ With a ‘Data Bottleneck’?
In practice, it seems that avoiding the knowledge acquisition bottleneck has not resulted in any net gain.
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