Natural Language Processing of Gemini Artificial Intelligence Powered Chatbot

Clicks: 11
ID: 309686
2024
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Abstract
Natural Language Processing (NLP) created Gemini AI-powered chatbot, a powerful tool that assists humans in many sectors. This article explains the Natural Language Processing in Gemini from various theories from books and papers along with usage examples from different education sectors. This article will analyze 20 kinds of literature on the topic categorized in NLP, AI, and Gemini AI-powered chatbot. NLP lets AI communicate naturally and as humanely as possible when interacting. The findings of this article is 1) Primary NLP functionalities to help Gemini address a variety of client needs and ensure that it can comprehend them or make quick responses in different communication environments, methods such as machine translation and text summarization are employed; 2) Human-computer interaction (HCI): The review’s goal was to determine how Gemini can have user-friendly and natural conversations through HCI principles. This includes knowing what the user wants to do, giving suitable replies, and making the interaction seem effortless; 3) Methods for managing conversations AI integrated application has a big difference in core processing with the normal software, Gemini uses an algorithm as the main power to calculate the possible response for the users and give the most suitable response regarding the request or question. Gemini uses machine learning with the information provided related to human needs, leading to more users using many discourses of human-bot. This advancement often raises a question about how Gemini works and processes data and has proven very useful for humans. Much research investigates the real usage of AI in real-life situations, however, a deeper understanding of the fundamentals of language processing by investigating further the topic of the possibilities of many Gemini usages will be unlocked.
Reference Key
imported_1765034615_69344a7742419 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Siti Mukminatun
Journal Balangkas: An International Multidisciplinary Research Journal
Year 2024
DOI
10.48550/arxiv.2312.11805
URL
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