Generative AI is a broad concept encompassing various forms of content generation, while LLM is a specific application of generative AI. Large language models serve as foundation models, providing a basis for a wide range of natural language processing (NLP) tasks.

2024年1月7日 · 大型语言模型是一种基于深度学习技术的自然语言处理模型，通过对大量文本数据的学习，llm能够模拟人类的语言理解和生成能力。 与传统的NLP模型相比，LLM能够更好地理解和生成自然文本，同时还能够表现出一定的逻辑思维和推理能力。

2024年1月31日 · This article will break down the ML vs. LLM debate and delve into their distinctions, functionalities, and when one might be preferable over the other in AI applications. Drawing a line between ML and LLM. First, there are no LLMs without ML.

2024年12月13日 · In the debate of ML vs LLM, it’s clear that both have distinct roles in the AI landscape. Traditional machine learning models excel in structured, task-specific applications, while LLMs dominate in understanding and generating human-like text.

2024年6月7日 · Understanding the differences between LLMs and traditional machine learning models is crucial for grasping their respective capabilities, applications, and future potential.

1 天前 · Artificial Intelligence (AI) has revolutionized numerous industries, enabling machines to mimic human intelligence in various forms. Among AI’s many advancements, Large Language Models (LLMs) have emerged as a transformative subset, specializing in understanding and generating human language. While both AI and LLMs are closely related, they serve different purposes and function in distinct ways.

2023年10月20日 · 本文主要介绍了大语言模型与传统深度学习模型的主要区别，从模型结构、训练方法、应用领域等多个角度进行深入解析，帮助读者更好地理解这两种模型的特性和应用。

2025年3月12日 · Machine Learning (ML) and Large Language Models (LLMs) serve distinct purposes in the realm of artificial intelligence. While ML algorithms are primarily designed to make predictions based on structured data, LLMs excel in processing and generating human-like text.

2024年11月14日 · 随着人工智能技术的快速发展，深度学习（Deep Learning）、计算机视觉（CV, Computer Vision）、自然语言处理（NLP, Natural Language Processing）、机器学习（ML, Machine Learning）和大语言模型（LLM, Large Language Models）等词汇频频出现在我们 …

2024年5月8日 · This article aims to dissect the ML vs. LLM discourse, exploring their disparities, functionalities, and instances where one may outperform the other in various AI applications.