Manitori

IntroductionThe rapid evolution of big data technologies and artificial intelligence has radically transformed many aspects of society, businesses, people and the environment, enabling individuals to manage, analyze and gain insights from large volumes of data (Dwivedi et al., 2023). The AI Spark Big Model is one effective technology that has played a critical role in addressing significant data challenges and sophisticated ML operations. For example, the adoption of Apache Spark in various indu ...

IntroductionText analysis is one of the most basic and essential processes in Natural Language Processing (NLP), and it entails extracting valuable insights and information from text data (Cecchini, 2023). With the increasing complexity and volume of text data, it is crucial to focus on the efficiency and scalability of the methods. Cecchini (2023) defines AI Spark NLP as a high-performance Python library based on Apache Spark that provides a complete solution for text data processing. Apache Sp ...

Spark and Big Data ApplicationDigital data is growing fast in volume courtesy of the innovations that are taking place in the digital world. The data quantities are huge and are from different sources, including smartphones and social networks, which the relational databases and the analytical techniques are incapable of storing or processing. These huge amounts of data get the name Big Data from this characteristic. Traditional machine learning cannot handle the volume and velocity of the data ...

Introduction In the recent past, the healthcare industry has dramatically transformed following the invention and integration of more advanced technologies used in data generation with the aim of enhancing healthcare practices (Shrotriya et al., 2023). These technological advancements have effectively propelled the healthcare industry forward especially in generating and analyzing healthcare outcomes. This substantial achievement can be attributed to the continuing development of technological d ...

Machine learning is a subject of artificial intelligence, which means programming computers in terms of algorithm so that they can learn from data. Supervised learning and unsupervised learning are two types of Machine Learning systems. One can easily tell the difference between them by the criterion: whether or not they are trained with human supervision. Supervised learning and unsupervised learning are two extreme. The former completely depends on human supervision, while the latter doesn't n ...

IntroductionThe fast progress in artificial intelligence (AI) technology is completely changing many fields, such as banking, schooling, healthcare, and more. Improved technology has enabled new uses previously thought viable only in science fiction. It also improved several other areas' efficiency and accuracy. The iFlytek Spark Cognitive Large Model stands out in the competitive artificial intelligence model industry. With their Spark Cognitive Large Model, Chinese tech company iFlytek has adv ...

In the previous article Supervised and Unsupervised learning in machine learning, we explains the meaning of machine learning. As AI is making waves across industries, we often hear the terms "deep learning" and "machine learning" getting thrown around interchangeably. While both are crucial for AI advancements, they are indeed two different subjects with distinct characteristics. Deep learning is a branch of machine learning, whose methods are based on artificial neural networks (ANNs). In othe ...

IntroductionDeveloping Artificial Intelligence (AI) has paved the way for the introduction of several related fields that rely on the model to enhance their operation. Various fields within global economies have adopted the functional and relevant aspects of AI to enhance their operation and communicate fluency in service delivery to the significant global populace. For instance, global finance, agricultural, legal, education, research, and security organizations have ensured they infused the mo ...

IntroductionAI has been revolutionizing in business and provides the best opportunities for efficiency and novelty. Among the most striking developments that have taken place regarding AI are state-of-the-art models with phenomenal performance, which come in very wide applications. Equipped with sophisticated algorithms and huge volumes of data, such models—like OpenAI's GPT-4—can do versatile tasks in speedy and accurate ways (Hadi et al 2023). The following essay elaborates on the advantages o ...

自从GPT火了以后，网络上的AI内容就变得泛滥了，刚开始还能轻松辨别哪些是AI的（一眼AI），哪些是人写的。现在这一两年里，随着生成式AI不断深入人心，AI内容变得更加泛滥了，并且经过这段时间技术的发展，AI生成的内容越来越真假难辨😢😤，有些AI生成的内容需要仔细辨别才能看出端倪。更可怕的是，道高一尺魔高一丈😔🙁，所谓的AI检测技术发展远远比不上AI生成技术的发展。AI生成的内容跟人越来越像，甚至有时候比人写的还要好，而人写的内容呢，相对的也就越来越AI化了😅。因此目前的AI检测会出现把人写的认定为AI写的荒谬事情。这也就意味着潘多拉魔盒已经彻底打开，AI内容与人的内容的界限开始变得模糊，所有的内容都变得真假难辨，恐怕这样下去人会彻底活在虚幻的世界里😭。以下为AI检测的结果我们检测用的是为什么说外国教材好？国外教材与国内教材的区别与 Djano云服务器部署 uwsgi+nginx+https部署这两篇文章。使用GPTZero进行检测，其他检测工具就不列举说明了，感觉用哪个AI检测结果都不会有太大差别。其实是别的AI检测都太不靠谱了😄，Undetectable.ai感觉就无论给它什么结果 ...

在这个飞速发展的时代，人工智能的崛起成为了无法忽视的现实。人们对于AI的态度也各不相同，有人担心它会取代人类的工作岗位，有人却认为它能够解放人类的生产力。到底AI是来解放我们，还是取代我们？人类未来的命运又将何去何从？AI发展的背后：机器智能与人类解放的关系人工智能的发展并不意味着人类将被取代，相反，它可以帮助人类解放双手，从繁重的体力劳动和重复性工作中解脱出来。通过自动化技术和智能化系统，人类可以更加高效地进行生产和工作，节约时间和精力，从而有更多的时间去追求更有意义的事物。机器智能的出现可以让人类把更多的精力放在创造性工作上，提高生产效率和生活质量。人工智能的发展为人类提供了更多的可能性。通过机器学习和大数据分析，人工智能可以帮助人类更好地理解世界，预测未来趋势，为人类的决策提供更科学的依据。在医疗、金融、交通等领域，人工智能的应用已经取得了显著成果，为社会发展带来了巨大的便利和益处。人类可以借助机器智能的力量解决更多的问题，实现更多的理想，推动社会向更美好的方向发展。人工智能的发展也需要人类的参与和监督。虽然机器智能具有高效和智能的优势，但它仍然无法完全取代人类的思维和创造力。人 ...

针对大型语言模型效果不好的问题，之前人们主要关注大模型再训练、大模型微调、大模型的Prompt增强，但对于专有、快速更新的数据却并没有较好的解决方法，为此检索增强生成（RAG）的出现，弥合了LLM常识和专有数据之间的差距。今天给大家分享的这篇文章，将介绍RAG的概念理论，并带大家利用LangChain进行编排，OpenAI语言模型、Weaviate 矢量数据库（也可以自己搭建Milvus向量数据库）来实现简单的 RAG 管道。什么是RAG？RAG的全称是Retrieval-Augmented Generation，中文翻译为检索增强生成。它是一个为大模型提供外部知识源的概念，这使它们能够生成准确且符合上下文的答案，同时能够减少模型幻觉。知识更新问题最先进的LLM会接受大量的训练数据，将广泛的常识知识存储在神经网络的权重中。然而，当我们在提示大模型生成训练数据之外的知识时，例如最新知识、特定领域知识等，LLM的输出可能会导致事实不准确，这就是我们常说的模型幻觉。如下图所示：因此，弥合大模型的常识与其它背景知识之间的差距非常重要，以帮助LLM生成更准确和更符合背景的结果，同时减少幻觉。解决 ...