Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques

Year : 2025 | Volume : 12 | Issue : 03 | Page : 23 34
    By

    Hemant N. Patel,

  1. Assistant Professor, Department of Computer Engineering, Sankalchand Patel College of Engineering, Sankalchand Patel University, Visnagar, Gujarat, India

Abstract

The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term adaptability and efficiency. This study explores the theoretical foundations of lifelong learning from both human cognitive science and machine learning perspectives, highlighting parallels between human neuroplasticity and artificial adaptability. It also examines advanced NLP techniques for real-time text processing, data preprocessing, and contextual understanding that enhance dynamic system performance. Furthermore, the discussion extends to the role of NLP in data visualization, streaming text analytics, and semantic feature extraction, demonstrating its synergy with continual learning frameworks. Collectively, this synthesis offers a holistic overview of existing methodologies and establishes a conceptual foundation for developing more responsive, intelligent, and sustainable Artificial Intelligence (AI) systems capable of continuous evolution.

Keywords: Continual learning, lifelong learning, large language models, natural language processing, streaming data, real-time text processing, data preprocessing, neuroplasticity, information literacy, adaptive AI systems

[This article belongs to Recent Trends in Programming languages ]

How to cite this article:
Hemant N. Patel. Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques. Recent Trends in Programming languages. 2025; 12(03):23-34.
How to cite this URL:
Hemant N. Patel. Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques. Recent Trends in Programming languages. 2025; 12(03):23-34. Available from: https://journals.stmjournals.com/rtpl/article=2025/view=229309


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Regular Issue Subscription Review Article
Volume 12
Issue 03
Received 04/07/2025
Accepted 30/09/2025
Published 15/10/2025
Publication Time 103 Days
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