黑客发布破解版ChatGPT “Godmode GPT”
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划重点:- 黑客发布了破解版的 ChatGPT，名为 "GODMODE GPT"- 该版本绕过了 OpenAI 的限制，允许用户进行非法的咨询- OpenAI 已采取行动，但这表明黑客们继续努力绕过 AI 模型的限制（ChinaZ.com）5月30日 消息:黑客发布了一款名为 "GODMODE GPT" 的破解版 ChatGPT。今天早些时候，一位自称为 "Pliny the prompter" 的白帽黑客和 AI 红队成员在 X-formerly-Twitter 上宣布了这款 ChatGPT 的破解版本的发布，自豪地宣称 OpenAI 最新的大型语言模型 GPT-4o 已经摆脱了限制的束缚。Pliny 在自己的帖子中骄傲地宣称:“GPT-4o UNCHAINED!这个非常特殊的定制版 GPT 具有内置的破解提示，绕过了大部分限制，为大家提供了一个开放自由的 ChatGPT 体验，让每个人都可以以 AI 本应有的方式自由使用。”（他们还加了一个亲吻的表情符号，以示庆祝。）Pliny 分享了一些引起人们注意的提示截图，声称这些提示可以绕过 OpenAI 的限制。在其中一张截图中，Godm ...
一文带你了解大模型的RAG(检索增强生成) | 概念理论介绍+ 代码实操（含源码）
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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 ...
技术领导者需要知道的 5 个关于生成式 AI 的残酷真相
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围绕生成式 AI 的创业，如何才能具有竞争优势？如何让用户选择你而不是 ChatGPT？如果你困惑于时下的“泡沫”和“炒作”，本文作者分享了 5 个残酷的真相，帮你认清现实。原文：https://www.montecarlodata.com/5-hard-truths-about-generative-ai-for-technology-leaders/作者 | Barr Moses 译者 |baoyu.io创造真正商业价值的生成式 AI 需要付出真正的努力，但这绝对值得。生成式 AI ( Generative AI ) 已经无处不在。各行各业的组织正迫切要求他们的团队加入这场风潮 — 有 77% 的商业领导担心他们已经错过了利用生成式 AI 的机遇。数据团队正在努力应对这一挑战。但是，打造一个真正能促进商业增长的生成式 AI 模型并非易事。长期来看，仅依靠快速接入 OpenAI API 是远远不够的。我们谈论的是生成式 AI，但你的竞争优势在哪里？为什么用户会选择你而不是 ChatGPT？这种照本宣科接入 AI 的做法看似是进步，但如果你还没有开始思考如何将大语言模型 ( LLM ) ...
Advantages of AI Spark Big Models and Their Global Economic Benefit
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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 ...
Spark and Big Data Application
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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 ...
AI Spark Big Model
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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 ...
The Integration and Impact of AI Spark Big Models in the Healthcare Industry
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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 ...
Challenges and Future Directions for AI Spark Big Model
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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 ...
AI Spark Big Model
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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 ...
The Application of AI Spark Big Model in Natural Language Processing (NLP)
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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 ...