For centuries, humans have been striving to automate various tasks as much as possible. Now, AI technology companies have seen the potential in leveraging humanity’s love for efficiency, coining a new term for their solutions: agents.
This agent, driven by artificial intelligence technology (hereafter referred to as AI agents), is an autonomous program capable of executing tasks and making decisions while interacting with the environment with minimal human input. AI agents are the focal point for almost all major companies engaged in AI research today.
Lilian Weng, Vice President of Safety at OpenAI, presents the full picture of Agents
AI agents can operate autonomously to varying degrees, from performing simple tasks like retrieving information in a web browser to formulating and executing multi-step plans for more complex goals. AI agents are becoming more adaptive and intelligent, capable of supporting ongoing business processes.
According to a report released by market research firm Research and Market in November this year, the market size for AI agents is expected to grow from $5.1 billion in 2024 to $47.1 billion by 2030 (an increase of $42 billion over approximately five years), with a compound annual growth rate of 44.8% from 2024 to 2030.
Major AI technology companies’ strategies for AI agents
Recently, Microsoft launched the world’s largest AI agents ecosystem. According to Microsoft, over 100,000 companies worldwide are currently creating their AI agents through Copilot Studio. Microsoft has also introduced autonomous AI agents that can detect events and engage in complex workflows within enterprises with minimal human intervention.
Amazon has recently made another investment in the AI company Anthropic. This company released an agent feature in October that can interpret content on computer screens like a human, select buttons, input text, browse websites, and perform corresponding tasks. More complex capabilities will be available in the future.
In China, Baidu’s founder, Li Yanhong, stated at the recently concluded Baidu World 2024 conference that AI agents are the most mainstream form of AI applications and are about to reach a tipping point. They will become a new carrier for content, information, and services in the AI-native era. He mentioned another feature of today’s AI agents: the low barrier to entry for users. On Baidu’s Wenxin AI agent platform, even 11-year-old elementary school students are creating their agents and distributing them through search and other channels.
ByteDance’s Doubao launches AI agent headphones
In October of this year, ByteDance’s brand Doubao officially released its first AI agent headphones: Ola Friend. Ola Friend is equipped with a self-developed AI model that enables seamless connection with the Doubao App. Users can interact with the Doubao App via voice commands by simply tapping the headphones or saying the wake word, without needing to unlock their phone screens.
Applications of AI agents in educational settings
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AI Learning/Teaching Assistants
Khan Academy’s AI Learning and Teaching Assistant Khanmigo
Khanmigo is an AI tool powered by the large language model GPT-4, designed to provide personalized learning guidance and teaching assistance for students and teachers. Unlike ChatGPT, Khanmigo does not provide direct answers to students or help them with their homework, but acts as a learning assistant to help them learn better.
With the capabilities of GPT-4, Khanmigo can engage in more complex conversations, providing students with a more realistic AI mentor. Khanmigo helps students find answers by asking them how they arrived at their answers or pointing out where they went off track in math problems.
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Create Your Own AI Agent
Cogniti.ai
Cogniti.ai is a platform that enables teachers to create their own AI agents simply by using natural language to control interactions with students. While general artificial intelligence capabilities are already quite powerful, there are still some limitations. For example, not everyone can or will use tools generated by general artificial intelligence, and some may not have the willingness to pay.
Each chatbot created by teachers is controlled by a “system prompt,” which reduces the guesswork required when interacting with generative AI. This helps lower the barriers to understanding how to effectively use these technologies.
Latest Activities from Yingmei Consulting
GetAI Phase 4: Applications of AI Agents in Educational Settings
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