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Neuro-Symbolic AI: The Practical Bridge Between Rules and Learning
Neuro-symbolic AI is an approach that combines neural networks (systems that learn patterns from data) with symbolic reasoning (systems that manipulate explicit knowledge like…
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From Scratch to Specialist: The Definitive Guide to Training, Fine-Tuning, and the Path to AGI
The world of large language models (LLMs) is rapidly evolving. What was once the domain of a few tech giants is now accessible to…
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The Final Invention: A Comprehensive Guide to Artificial General Intelligence (AGI)
For decades, AGI has been the stuff of science fiction—from HAL 9000 to Commander Data. Today, it is the stated mission of the world’s…
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Inference with vLLM: Boosting Compliance, Security, Efficiency, and Performance Where Legacy Systems Fail
Executive Summary Red Hat strategically provides consistency wherever you run inference. The effort you invest in building solutions can be adapted to the landing…
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Agentic AI A Reference Architecture for Secure, Scalable, and Open Innovation
1. Introduction: Navigating the Next Wave of AI Generative AI is no longer an experiment; it is reshaping how institutions operate. The emergence of…