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
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
Since the emergence of large language models, the popularity of AI Agents has been on the rise, seen as a viable path towards AGI (Artificial General Intelligence). Personally, when using AI products like GPT, I not only enjoy their convenience in handling daily tasks, such as assisting with information collection and validating the feasibility of … Read more
Machine Heart SOTA! Model Community Column Author: Hoshino Gen Column Editors: Zhi Hu, Ya Fang, Xiao Tu Classmate This column is produced by Machine Heart SOTA! Model Community, updated every Sunday on the Machine Heart public account. This week we invite “LLM Modification Group” member “Hoshino Gen” to share how to implement your own AI … Read more
The report from Electronic Enthusiasts Network (by Li Wanwan) states that AI Agent refers to an artificial intelligence agent, which is an intelligent entity capable of perceiving the environment, making decisions, and executing actions. AI Agents are typically based on machine learning and artificial intelligence technologies, possessing autonomy and adaptability, enabling them to learn and … Read more
With the development of large models, general intelligence continues to iterate and upgrade, and application models are also innovating continually, from simple prompt applications, RAG (Retrieval-Augmented Generation) to AI Agents. Among them, AI Agents have always been a hot topic and will be ubiquitous in the future. Bill Gates even claimed that the ultimate technology … Read more
In the technological wave of the AGI era, AI Agents are regarded as the forefront of interactive large language model applications. They transform large models from mere responsive generation tools into intelligent systems capable of acting independently in complex and dynamic environments, thereby unleashing greater potential. #01 Stronger Interactivity and Perception Capabilities AI Agents differ … Read more
Trends in IoT APP development are as follows: Technical Aspects – Enhanced cross-platform compatibility: Must support more operating systems and device types, such as adapting to iOS, Android, and various smart wearable device systems, allowing users to use seamlessly across different devices. – Improved intelligence and automation: Leveraging machine learning and artificial intelligence technologies to … Read more
Image Source: Unsplash â–ŽSee the future first. Author｜Rao Xiangyu Editor｜Zhong Yi This article was first published on the Titanium Media App Whether you accept it or not, artificial intelligence technology has begun to significantly transform the real world. In the consumer electronics field, mobile phone and computer manufacturers are embedding various types of AI large … Read more