法律硕士生态系统中的创业活动

IF 2.3 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Natural Language Engineering Pub Date : 2024-05-14 DOI:10.1017/s1351324924000032
Robert Dale
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引用次数: 0

摘要

技术和主流媒体对人工智能的头条报道总是围绕着大型语言模型所展示的惊人能力。这并不奇怪,因为就所有意图和目的而言,这正是生成式人工智能的新闻价值所在。但是,养育一个孩子需要一个村庄:在幕后,有一个完整的生态系统支持着这些模型的开发和部署,以及建立在这些模型之上的应用。该生态系统的某些部分由大科技公司主导,但也有许多利基市场,初创公司正致力于在其中占据一席之地。我们将对该生态系统的一些组成部分进行分析,尤其关注在过去一年左右的时间里促成了对初创企业投资的一些想法。
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Start-up activity in the LLM ecosystem

The technical and mainstream media’s headline coverage of AI invariably centers around the often astounding abilities demonstrated by large language models. That’s hardly surprising, since to all intents and purposes that’s where the newsworthy magic of generative AI lies. But it takes a village to raise a child: behind the scenes, there’s an entire ecosystem that supports the development and deployment of these models and the applications that are built on top of them. Some parts of that ecosystem are dominated by the Big Tech incumbents, but there are also many niches where start-ups are aiming to gain a foothold. We take a look at some components of that ecosystem, with a particular focus on ideas that have led to investment in start-ups over the last year or so.

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来源期刊
Natural Language Engineering
Natural Language Engineering COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
5.90
自引率
12.00%
发文量
60
审稿时长
>12 weeks
期刊介绍: Natural Language Engineering meets the needs of professionals and researchers working in all areas of computerised language processing, whether from the perspective of theoretical or descriptive linguistics, lexicology, computer science or engineering. Its aim is to bridge the gap between traditional computational linguistics research and the implementation of practical applications with potential real-world use. As well as publishing research articles on a broad range of topics - from text analysis, machine translation, information retrieval and speech analysis and generation to integrated systems and multi modal interfaces - it also publishes special issues on specific areas and technologies within these topics, an industry watch column and book reviews.
期刊最新文献
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