多模式人工智能和制造业的未来

币圈资讯 阅读:41 2024-04-22 10:22:20 评论:0
美化布局示例

欧易(OKX)最新版本

【遇到注册下载问题请加文章最下面的客服微信】永久享受返佣20%手续费!

APP下载   全球官网 大陆官网

币安(Binance)最新版本

币安交易所app【遇到注册下载问题请加文章最下面的客服微信】永久享受返佣20%手续费!

APP下载   官网地址

火币HTX最新版本

火币老牌交易所【遇到注册下载问题请加文章最下面的客服微信】永久享受返佣20%手续费!

APP下载   官网地址

作者:Alphatu 来源:X,@Alphatu4 翻译:善欧巴,比特币买卖交易网

自2023年9月OpenAI开始在其ChatGPT平台推出新的语音和图像功能以来,引入了更直观的界面,允许用户与ChatGPT进行语音对话并共享图像,从而增强整体用户体验。

这种情况进一步加剧了多式联运已经炙手可热的流行。

2sy5cKd7y3BI22CPAR4RN98k2ZqIX5hxH93glWFm.png

事实上,语音和图像功能的集成为用户在生活的各个方面提供了与ChatGPT交互的多种方式。无论是在旅途中还是在家中,用户现在都可以利用这些多模态功能与 AI 模型进行更加身临其境的互动交互,为许多以前无法完成的产品场景增添想象力。

多模态将比通用语言模型更广泛地应用于工业场景。

什么是多模态人工智能?

多模态人工智能是指能够理解和处理来自多种模式或来源的信息的人工智能系统和模型。在人工智能的背景下,模态是一种不同的输入形式或渠道,例如文本、图像、音频、视频或任何其他类型的数据。多模态人工智能旨在整合和分析来自各种模态的信息,以实现对数据的更全面的理解。

图形处理单元(GPU 或 TPU)的广泛使用极大地推动了深度学习 AI 的发展。然而,生成式人工智能进一步推动了这一进步,赋予它似乎永不满足的能力,以令牌的形式吸收数据,以及代表神经元之间连接数量的参数。此外,它还利用称为浮点运算 (FLOPS) 的计算能力指标。最新的 GPT-4 模型现已配备多模态功能,可混合文本和图像,并进行了大幅增强,因其在各种自然语言处理任务上优于现有法学硕士的卓越性能而赢得赞誉。

多模态人工智能及工业场景

然而,单模态数据的约束给现实场景尤其是工业场景带来了挑战,需要采用多模态人工智能。

在信息丰富的场景中,仅仅依靠“语言”模型是不够的。有效的决策和信息评估需要多种信号。

以制造业为例,制造业存在大量的图像、温度、重量等数据。在这种情况下,完全依赖语言模型是不够的,这凸显了整合各种形式信息的必要性。

以医疗领域为例。为什么医生更喜欢面对面诊断,为什么目前的人工智能不能全面诊断疾病?解释在于医生会分析文字和患者的表现。在检查特定的 X 射线时,医生会参与集体讨论和咨询,因为他们提取的不仅仅是图像或文本段落,而是解释多模态信息。

多模式输入不仅限于文本,还包括声音、红外数据和其他元素。这种方法有助于训练模型进行多维度思考。

考虑一辆仅配备摄像头系统的自动驾驶汽车;在弱光条件下识别行人会遇到困难。为了全面应对这些挑战,激光雷达、雷达和 GPS 的结合至关重要。这种集成使车辆能够更全面地感知周围环境,从而提高驾驶的安全性和可靠性。

这里的基本原则强调了整合多种感官以获得对复杂事件更深刻理解的重要性。通过多模态人工智能的利用,文本信息、照片、视频和音频可以融合,形成对给定情况的连贯而全面的描述。

人工智能从根本上解决知识问题,而互联网主要解决信息问题。知识本质上是特定领域的,缺乏互联网的普遍性。制造业内领域专家和多模式人工智能能力的协同集成有可能显着降低成本并提高效率。


Since the launch of new voice and image functions on its platform in June, Shanouba Bitcoin Trading Network has introduced a more intuitive interface to allow users to have voice conversations with and share images, thus enhancing the overall user experience. This situation has further aggravated the popularity of multimodal transport. In fact, the integration of voice and image functions has provided users with various ways to interact with each other in all aspects of their lives, whether on the road or at home. Using these multimodal functions to interact with models in a more immersive way adds imagination to many product scenes that could not be completed before. Multimodal will be more widely used in industrial scenes than common language models. What is multimodal artificial intelligence? Multimodal artificial intelligence refers to artificial intelligence systems and models that can understand and process information from multiple modes or sources. In the context of artificial intelligence, modality is a different input form or channel, such as text, image, audio, video or any other. Other types of data multimodal artificial intelligence aim to integrate and analyze information from various modes to realize a more comprehensive understanding of data. The extensive use of graphics processing units or has greatly promoted the development of deep learning. However, generative artificial intelligence has further promoted this progress, giving it the seemingly insatiable ability to absorb data and parameters representing the number of connections between neurons in the form of tokens. In addition, it also uses the latest model of computing power index called floating-point operation. Equipped with multi-modal function, it can mix text and images and greatly enhance them. Because of its excellent performance in various natural language processing tasks, it has won praise. Multi-modal artificial intelligence and industrial scenes, however, the constraint of single-modal data has brought challenges to real scenes, especially industrial scenes. It is not enough to rely solely on language models in information-rich scenes. Effective decision-making and information evaluation require multiple signals. Take manufacturing as an example. In this case, it is not enough to rely entirely on the language model, which highlights the necessity of integrating various forms of information. Taking the medical field as an example, why do doctors prefer face-to-face diagnosis? Why can't the current artificial intelligence fully diagnose diseases? The explanation lies in that doctors will analyze words and patients' performance. When examining specific rays, doctors will participate in collective discussion and consultation because they extract not only images or text paragraphs but also explain multimodal information. Multi-mode input is not limited to text, but also includes sound, infrared data and other elements. This method is helpful to train the model for multi-dimensional thinking. Considering that a self-driving car equipped with only a camera system will encounter difficulties in identifying pedestrians in low light conditions, in order to fully cope with these challenges, the integration of lidar and radar is very important. This integration enables the vehicle to perceive the surrounding environment more comprehensively, thus improving the safety and reliability of driving. The basic principle here emphasizes the integration of multiple senses to The importance of gaining a deeper understanding of complex events through the use of multimodal artificial intelligence, text information, photos, videos and audio can be integrated to form a coherent and comprehensive description of a given situation. Artificial intelligence fundamentally solves the problem of knowledge, while the Internet mainly solves the problem of information. Knowledge is essentially a universal lack of the Internet in a specific field, and the collaborative integration of domain experts and multimodal artificial intelligence capabilities in manufacturing industry may significantly reduce costs and improve efficiency. 比特币今日价格行情网_okx交易所app_永续合约_比特币怎么买卖交易_虚拟币交易所平台

文字格式和图片示例

注册有任何问题请添加 微信:MVIP619 拉你进入群

弹窗与图片大小一致 文章转载注明 网址:https://netpsp.com/?id=61299

美化布局示例

欧易(OKX)最新版本

【遇到注册下载问题请加文章最下面的客服微信】永久享受返佣20%手续费!

APP下载   全球官网 大陆官网

币安(Binance)最新版本

币安交易所app【遇到注册下载问题请加文章最下面的客服微信】永久享受返佣20%手续费!

APP下载   官网地址

火币HTX最新版本

火币老牌交易所【遇到注册下载问题请加文章最下面的客服微信】永久享受返佣20%手续费!

APP下载   官网地址
可以去百度分享获取分享代码输入这里。
声明

1.本站遵循行业规范,任何转载的稿件都会明确标注作者和来源;2.本站的原创文章,请转载时务必注明文章作者和来源,不尊重原创的行为我们将追究责任;3.作者投稿可能会经我们编辑修改或补充。

发表评论
平台列表
美化布局示例

欧易(OKX)

  全球官网 大陆官网

币安(Binance)

  官网

火币(HTX)

  官网

Gate.io

  官网

Bitget

  官网

deepcoin

  官网
关注我们

若遇到问题,加微信客服---清歌

搜索
排行榜
扫一扫,加我为微信好友加我为微信好友