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AI Learns from AI: The Emergence of Social Learning Among Large Language Models

Unite.AI

Future Directions The potential for social learning in LLMs suggests various interesting and meaningful ways for future AI research: Hybrid AI Cultures : As LLMs participate in social learning, they might begin to form common methodologies. This could redefine how knowledge transfer and innovation occur.

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A Guide to Mastering Large Language Models

Unite.AI

Responsible AI tooling remains an active area of innovation. Models like DELPHI fight adversarial attacks using causality graphs and gradient masking.

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Understanding the Core Limitations of Large Language Models: Insights from Gary Marcus

ODSC - Open Data Science

This blog explores Marcus’s insights, addressing LLMs’ inherent limitations, the need for hybrid AI approaches, and the societal implications of current AI practices. The Case for Hybrid AI Models A significant portion of Gary Marcus’s discussion revolves around hybrid AI as a necessary evolution.