Remove AI Modeling Remove Hybrid AI Remove Responsible AI
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AI Learns from AI: The Emergence of Social Learning Among Large Language Models

Unite.AI

Saving Resources: This approach allows for more efficient use of resources, as models learn from each other's experiences without needing direct access to large datasets. Decentralized Learning : The idea of AI models learning from each other across a decentralized network presents a novel way to scale up knowledge sharing.

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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.