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Bibliographic Details
Main Author: Das, Ajoy Kumar
Format: Recurso digital
Language:English
Published: Zenodo 2025
Online Access:https://doi.org/10.5281/zenodo.15428195
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author Das, Ajoy Kumar
author_facet Das, Ajoy Kumar
contents <p>The article provides an introduction to expert systems, inference engines, and large language models (LLMs) in the realm of artificial intelligence (AI). Expert systems are rule-based programs that mimic human decision-making within a particular field, with their reasoning core being inference engines. They apply logical methods such as forward and backward chaining to reach conclusions from accumulated knowledge. With the emergence of LLMs like GPT and BERT, AI has turned from rule-based to data-driven techniques. LLMs take advantage of deep learning and transformer models to execute activities like text generation, summarization, and translation. Together, expert systems and LLMs depict the development of AI from symbolic reasoning to large-scale language understanding.</p>
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publishDate 2025
publisher Zenodo
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spellingShingle Expert System in AI
Das, Ajoy Kumar
<p>The article provides an introduction to expert systems, inference engines, and large language models (LLMs) in the realm of artificial intelligence (AI). Expert systems are rule-based programs that mimic human decision-making within a particular field, with their reasoning core being inference engines. They apply logical methods such as forward and backward chaining to reach conclusions from accumulated knowledge. With the emergence of LLMs like GPT and BERT, AI has turned from rule-based to data-driven techniques. LLMs take advantage of deep learning and transformer models to execute activities like text generation, summarization, and translation. Together, expert systems and LLMs depict the development of AI from symbolic reasoning to large-scale language understanding.</p>
title Expert System in AI
url https://doi.org/10.5281/zenodo.15428195