Should generative AI be headed by chat or agent?In my opinion, the evolutionary path of generative AI can be either chat or agent, depending on the actual application and goals of the AI. They can coexist or focus on one aspect of development under different needs. If that's more promising, it's the agent. Next, allow me to elaborate on the two development directions of AI large models!
It is mainly suitable for providing real-time text communication services, such as customer service, information consultation, and entertainment chat. The focus of AI Chat is to improve the fluency of conversations, comprehension, and relevance of responses, while also dealing with increasingly complex queries and tasks.
AI Chat, also known as a chatbot, is a computer program that uses artificial intelligence (AI) and natural language processing (NLP) techniques to simulate human conversations。Specifically, they can understand the questions asked by the user and provide answers automatically. The working principle of AI Chat is mainly based on two key technologies:
Artificial Intelligence (AI).: This is the technology that enables chatbots to learn and improve their conversational abilities. AI allows bots to learn from large amounts of data to better understand and respond to user queries.
Natural Language Processing (NLP).: This technology enables computers to understand, interpret, and generate language. NLP helps chatbots understand the user's intent and context to provide a more accurate and natural conversational experience.
With the continuous advancement of technology, the field of AI chatbots in China is also developing rapidly, and many manufacturers have launched their own AI chatbot products, which have passed the generative AI filing and can be used directly.
It's a broader concept that encompasses not only the functions of a chatbot, but also more responsibilities such as schedule management, email categorization, shopping assistance, and personalized recommendations. The development of AI agents focuses on improving their independence, flexibility, and judgment to better represent the interests of users and accomplish more complex missions.
An AI agent, also known as an intelligence or agent, is an intelligent entity that is able to perceive its surroundings, make decisions, and perform corresponding actions。Compared with AI Chat, AI Agent has more comprehensive and advanced functions, which can not only handle text communication, but also perform more complex tasks such as schedule management, email filtering, etc.
The core features of AI Agent include:
Situational awareness: The AI agent can sense its environment through sensors or other data inputs.
Ability to make independent decisions: AI agents can automatically make decisions and perform actions based on the environment information they perceive.
Ability to learn: AI agents can continuously improve their performance and adaptability through machine learning or other learning mechanisms.
Goal-oriented: The AI agent's actions are to achieve preset goals, which can be specific tasks or long-term strategic plans.
Interactivity: AI agents often need to interact with human users or other systems to get instructions or provide feedback.
AI agent is a highly intelligent program that is not only able to understand and generate natural language, but also capable of performing complex tasks in a wider environment, with high research value and application potential.
Therefore, we must realize that the development of AI should not be a single direction choice, but should be decided according to different needs and scenarios. In some cases, a highly specialized chatbot may be more suitable, while in others, an all-rounder agent may be more efficient and user-friendly. With the advancement of technology, future AI may integrate the characteristics of chat and agent to provide more comprehensive and in-depth services. What do you think about this, welcome to follow my entrepreneur Li Meng and communicate with me!
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