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    LARGE LANGUAGE MODELING (LLM) What are large language models (LLMs)? A large language model (LLM) is a type of artificial intelligence (AI) algorithm that uses deep learning techniques and massively large data sets to understand, summarize, generate and predict new content. The term  generative AI  also is closely connected with LLMs, which are, in fact, a type of generative AI that has been specifically architected to help generate text-based content. Over millennia, humans developed spoken languages to communicate. Language is at the core of all forms of human and technological communications; it provides the words, semantics and grammar needed to convey ideas and concepts. In the AI world, a language model serves a similar purpose, providing a basis to communicate and generate new concepts. The first AI language models trace their roots to the earliest days of AI. The Eliza language model debuted in 1966 at MIT and is one of the earliest ex...

ARTIFICIAL INTELLIGENCE (AI) - MACHINE LEARNING (ML) - DEEP LEARNING (DL)

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ARTIFICIAL INTELLIGENCE (AI) - MACHINE LEARNING (ML) - DEEP LEARNING (DL)   This text discusses the topics of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). AI, ML, and DL are interconnected technologies for creating intelligent systems that learn from data to make decisions. AI encompasses a wide scope of human-like tasks, while ML focuses on data-driven learning. DL, a subset of ML, utilizes deep neural networks for complex pattern recognition. These technologies collectively enhance problem-solving across diverse domains. Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are all related technologies that can be used to create intelligent systems. These systems can learn from data and make decisions based on that learning, without being explicitly programmed. AI, ML, and DL are all powerful tools that can be used to solve complex problems and improve many different aspects of our lives. In today’s ever-evolving world, new ...