Artificial intelligence (AI), machine learning, and deep learning have become transformative forces in big data analytics and management, enabling groundbreaking advancements across diverse industries. This article delves into the foundational concepts and cutting-edge developments in these fields, with a particular focus on large language models (LLMs) and their role in natural language processing, multimodal reasoning, and autonomous decision-making. Highlighting tools such as ChatGPT, Claude, and Gemini, the discussion explores their applications in data analysis, model design, and optimization. The integration of advanced algorithms like neural networks, reinforcement learning, and generative models has enhanced the capabilities of AI systems to process, visualize, and interpret complex datasets. Additionally, the emergence of technologies like edge computing and automated machine learning (AutoML) democratizes access to AI, empowering users across skill levels to engage with intelligent systems. This work also underscores the importance of ethical considerations, transparency, and fairness in the deployment of AI technologies, paving the way for responsible innovation. Through practical insights into hardware configurations, software environments, and real-world applications, this article serves as a comprehensive resource for researchers and practitioners. By bridging theoretical underpinnings with actionable strategies, it showcases the potential of AI and LLMs to revolutionize big data management and drive meaningful advancements across domains such as healthcare, finance, and autonomous systems.

翻译：人工智能、机器学习和深度学习已成为大数据分析与管理领域的变革性力量，推动着各行业取得突破性进展。本文深入探讨这些领域的基础概念与前沿发展，特别聚焦于大型语言模型及其在自然语言处理、多模态推理和自主决策中的作用。通过突出ChatGPT、Claude和Gemini等工具，论述其在数据分析、模型设计与优化中的应用。神经网络、强化学习和生成模型等先进算法的整合，增强了人工智能系统处理、可视化与解析复杂数据集的能力。此外，边缘计算和自动化机器学习等技术的兴起，降低了人工智能的使用门槛，使不同技能水平的用户都能与智能系统交互。本文还强调了人工智能技术部署中伦理考量、透明度与公平性的重要性，为负责任创新铺平道路。通过对硬件配置、软件环境和实际应用的实践性洞察，本文为研究人员和从业者提供了全面的参考资源。通过将理论基础与可操作策略相结合，展示了人工智能和大型语言模型在革新大数据管理、推动医疗、金融和自主系统等领域取得实质性进展的潜力。