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How LLM Unlearning Is Shaping the Future of AI Privacy

Unite.AI

LLMs are trained on large datasets that contain personal and sensitive information. One emerging solution to address these concerns is LLM unlearning —a process that allows models to forget specific pieces of information without compromising their overall performance. They can reproduce this data if prompted in the right way.

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Leading Operational Innovation: COO Strategies For Seamless AI Agent Integration

Flipboard

Picture your enterprise as a living ecosystem, where surging market demand instantly informs staffing decisions, where a new vendor’s onboarding optimizes your emissions metrics, where rising customer engagement reveals product opportunities. Next, leaders should deploy agents in clusters that can learn and evolve together.

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5 Ways AI Orchestrators Can Reduce Employee Friction

Unite.AI

Trust is the foundation of successful AI adoption, yet 43% of surveyed employees in the U.S. and Europe lack confidence in their employers ability to handle AI responsibly. AI orchestrators are fundamental in building faith by addressing concerns about job security and data transparency.

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The Potential Consciousness of AI: Simulating Awareness and Emotion for Enhanced Interaction

Towards AI

This persistence would enable the continuous development of contextual awareness through memory, and thus the accumulated experience which is its outcome can inform and refine ongoing interactions. Persistence and continuous learning are obviously not requirements or even desirable features for all use cases.

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The Path from RPA to Autonomous Agents

Unite.AI

With non-AI agents, users had to define what they had to automate and how to do it in great detail. They build upon the foundations of predictive and generative AI but take a significant leap forward in terms of autonomy and adaptability. The bank also projects cost savings with SymphonyAI on Microsoft Azure of 3.5m

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

Unite.AI

It offers a more hands-on and communal way for AI to pick up new skills. Social Learning in LLMs An important aspect of social learning is to exchange the knowledge without sharing original and sensitive information. The focus would be on developing AI systems that can reason ethically and align with societal values.

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HR and Talent in the Era of AI

IBM Journey to AI blog

Critical considerations for responsible AI adoption While the possibilities are endless, the explosion of use cases that employ generative AI in HR also poses questions around misuse and the potential for bias. As such, HR leaders cannot simply rely on data and AI to make decisions.