On January 9, AI Analysis successfully held the 2024 AI Analysis · AI and Large Model Summit Forum, inviting experts, scholars, corporate representatives, large model vendors, and practical experts from various fields to share cutting-edge technological advancements and leading enterprise application scenarios and practical experiences. Today, we present an introduction and interpretation of AI Agent … Read more
Compared to large model applications such as prompt engineering and fine-tuning, the uniqueness of AI agents lies in their ability not only to provide consultation to users but also to directly participate in decision-making and execution. The core of the agent’s implementation is. The core of this advancement is that the critical aspect of task … Read more
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Author: Yeyan, Master’s in Engineering, China University of Geosciences 1. Background With the development of ChatGPT, the demand for utilizing ChatGPT to accomplish a series of complex tasks has emerged, leading to many application frameworks for AI agents. The specific applications are shown in the figure below, including both open-source and commercial options. Image from … Read more
Most software abroad can connect well through APIs. For example, the little blue bird, etc., so foreign RPA software also focuses more on APIs. In comparison, domestic software like Xiaohongshu, Douyin, especially WeChat (not counting WeChat Work), does not provide APIs, so domestic RPA mostly focuses on UI interface automation. Currently, there are limitations in … Read more
Thank you for following us! Introduction As one of the important development trends in AI, AI Agents represented by digital employees have garnered widespread attention in the industry. Especially in the enterprise service sector, an increasingly vibrant ecosystem is forming a new force that drives AI into real scenarios. We believe that whoever captures the … Read more
Author | Yang Tao With the launch of plugins and function calling capabilities by ChatGPT, the concept of building an AI Agent based on LLM (Large Language Model) as a core controller has increasingly become a concept with infinite possibilities. The application potential of LLM is not limited to generating high-quality articles, stories, essays, and … Read more
Original: Dear Data (1) If we say that developing applications for large models is like gold mining, then the frameworks, tools, and platforms that accelerate application development are the “shovels for mining gold.” Where there are gold miners, there will always be shovel manufacturers. Opportunities will definitely be seized by leading vendors. And open-source products … Read more
AI Agents have become a hot topic recently. Lilian Weng, the research director of OpenAI, published a lengthy article about AI Agents: “Autonomous Agents Supported by Large Language Models (LLMs)” which sparked industry discussions. In her article, she clearly defines the application framework for building AI Agents based on LLMs: Agent = LLM (Large Language … Read more
AI Agent (Artificial Intelligence Agent) is an intelligent entity capable of perceiving the environment, making decisions, and executing actions. Unlike traditional artificial intelligence, AI Agents have the ability to achieve specified goals through independent thinking and tool invocation. The distinction between AI Agents and large models lies in the fact that interactions between large models … Read more