Agent

Researchers at Stanford University, the University of Washington and Google DeepMind have jointly developed an AI Agent that can realistically simulate human behavior in social experiments, The Decoder reported today. The study suggests that such simulation systems could serve as a virtual laboratory to help validate theories in economics, sociology, organizational and political science. The research team tested more than 1,000 representative Americans (covering a wide range of ages, genders, educational backgrounds, and political stances) by...

In the AI wave sweeping the world today, intelligent body (Agent) has become a "new entrance" for enterprises and individuals to quickly harness AI capabilities. From byte jumping's Coze to Ali's Tongyi series, from Baidu's Wenxin to Tencent's Yuanqi, the major tech giants have launched their own intelligent body platforms, setting off an AI intelligent body innovation competition. In this article, we will provide you with an in-depth analysis of the core features, technical advantages and application scenarios of the top 7 AI intelligent body platforms in China, no matter whether you want to explore the AI innovation of individual developers, or seek digital transformation of enterprise decision makers,...

Betteryeah AI is a simple, easy-to-use AI application development platform developed by BattleYeah (Hangzhou) Intelligent Technology Co., Ltd. with API seamlessly integrated into the enterprise system, solving the key problems of AI landing in the enterprise: high-quality output, simple and easy to use, and integration into enterprise data and business. BattleYeah AI features Visualization workflow: fast and easy to build AI process, support for rich development nodes: LLM, Memory, code, API, etc., to meet all kinds of business needs Simple and easy to use dataset: support for fast and custom...

Compared with the development of artificial intelligence, Agent development platform is a novelty. With the arrival of the generative AI meta-year in 2023, 2024 is defined as the Agent meta-year, and Agent is widely recognized as an important direction for the ground application of AI systems. In fact, overseas, as early as the end of 2022, the exploration of Agent development frameworks and technologies has already begun, such as LangChain was launched by Harrison Chase in October 2022, and LlamaIndex was launched in November 2022.ChatGPT is also...

As AI technology continues to evolve, a number of domain-related concepts and acronyms have been appearing in various articles, such as Prompt Engineering, Agent Intelligence, Knowledge Bases, Vector Databases, RAGs, and Knowledge Graphs, etc., but it is also true that these technologies and concepts play a crucial role in the development of the big AI models. These technological elements collaborate with each other in diverse forms to drive AI technology forward. In this article, we will delve deeper into the high level models that are always paired with big models including, but not limited to, the above...

Dify is an open source platform for building AI applications.Dify combines the Backend as Service and LLMOps concepts. It supports a variety of large-scale language models, such as Claude3, OpenAI, etc., and cooperates with multiple model vendors to ensure that developers can choose the most suitable model according to their needs.Dify greatly reduces the complexity of AI application development by providing powerful dataset management features, visual Prompt orchestration, and application operation tools. Dify I. Dify What is ...

I often use Coze single agent mode, but I rarely use multi-agent bots. Today, I will show you the charm of multi-agents. Multi-agent building tutorial 1: Understanding multi-agent mode When creating a robot (Bot) on the Button platform, the default is single agent mode. But when the single agent mode handles complex tasks, you need to write very detailed prompts, and you may also need to add plug-ins and workflows, which will make debugging complicated. A small change may affect the function of the entire Bot, resulting in actual results that are different from expectations...

For those of you who are concerned about the field of artificial intelligence, you must have more or less heard of or even experienced the ability of AI Agent to build platforms. These platforms are not only a platform for carrying the technical tools of intelligent bodies, but also an incubator of innovation and imagination for ordinary people, allowing each of us to build our own personalized intelligent bodies and explore the AI world in the most efficient way. LLM-based AI Agent building platform carries the vision and mission of "everyone is a developer", which really kicks off the prelude of application building for all people, so Coze, Dify.ai, Beam.ai, etc. are also more popular...

The development of artificial intelligence agents (AI Agents) is changing the way we live and work at an unprecedented rate. From small things in daily life to complex decisions at the enterprise level, the application scenarios of AI Agents are wide and diverse. The following are 100 innovative application scenarios of AI Agents, which show how AI technology has penetrated into every aspect of our lives. E-commerce 1. Personalized recommendation system AI Agent can provide personalized product recommendations based on the user's shopping history, browsing behavior and preferences. This recommendation can not only improve the user's...

AI+Productivity ToolsDOCS & DATA EXTRACTION: From "saga" to "Otter.ai", these tools can intelligently extract key information from documents, making data organization easy. Whether it is meeting minutes or daily notes, AI assistants can help you quickly capture the key points. MEETING ASSISTANTS: Meeting assistants such as "Bearly" and "Watto Al" make your meetings more efficient. They can record and organize meetings in real time...