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Everything you need to know about AI agents and what they can do
- AI agents are capable of operating independently and without continuous, direct oversight, while collaborating with users to automate monotonous tasks.
- Agentic AI is a type of generative AI model that can act autonomously, make decisions, and take actions towards complex goals without direct human intervention.
- AutoGPT, BabyAGI, and Agentforce are some examples of AI agents that solve complex queries with minimal oversight.
- Being designed to take action for their users, AI agents are able to perform a staggeringly wide variety of tasks, like reviewing and automatically streamlining computer code.
- AI agents are already used in banking systems for fraud detection and automated stock trading tasks, in the logistics industry for inventory optimization and delivery routes, in healthcare for appointment scheduling and prescription refilling, and in manufacturing for equipment monitoring and predictive maintenance.
- Top companies like Google, Microsoft, OpenAI, Anthropic, and Nvidia are all racing to develop and deploy AI agents for the business and consumer markets.
- AI agents are prone to hallucinations and can be tricked by malicious actors, making it necessary for users to be vigilant about sharing their information with chatbots and LLMs.
- OpenAI CEO Sam Altman predicted that in 2025, we may see the first AI agents 'join the workforce' and materially change the output of companies.
- Google's automotive AI agent will even provide near-real-time information about local landmarks and restaurants for Mercedes' MBUX entertainment and navigation system starting with the next model year's CLA.
- OpenAI recently unveiled its new Tasks feature for ChatGPT, which allows users to set future reminders and regularly-scheduled tasks for the chatbot to perform at a later date.
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