AI and agents

IF 2.5 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Ai Magazine Pub Date : 2024-04-04 DOI:10.1002/aaai.12170

Babak Hodjat

引用次数: 0

Abstract

Earlier this year, OpenAI released their GPTs framework, allowing users to set up Large Language Model (LLM)-based personas, orchestrate them into a workflow and even offering their AI apps within an app store. This is the latest, and maybe the easiest to set up, in a string of agent-based LLM orchestration platforms in the past year, harkening a new age of agent-based engineering. But, like most breakthroughs, this one is also rooted in many years of research, and the reason the world is paying attention to it now is that, thanks to Generative AI and Large Language Models, we finally have artificial agents that are useful enough to scale to more serious problems.

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人工智能和代理

今年早些时候，OpenAI 发布了他们的 GPTs 框架，允许用户建立基于大型语言模型（LLM）的角色，将其协调到工作流中，甚至在应用商店中提供他们的人工智能应用。这是去年一系列基于代理的 LLM 协调平台中最新的一个，也可能是最容易建立的一个，标志着一个基于代理的工程新时代的到来。不过，与大多数突破一样，这一突破也是源于多年的研究，而现在全世界都在关注它的原因是，得益于生成式人工智能和大型语言模型，我们终于有了足够有用的人工代理，可以扩展到更严重的问题上。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ai Magazine 工程技术-计算机：人工智能

CiteScore

3.90

自引率

11.10%

发文量

审稿时长

>12 weeks

期刊介绍： AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. Technical content should be kept to a minimum. In general, the magazine does not publish articles that have been published elsewhere in whole or in part. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and timely columns on topics of interest to AI scientists.