Breaking Down the Latest AI Trends: From Machine Learning to Generative Intelligence
agents rag
| Source: Dev.to | Original article
AI terms are often misused, but a clear hierarchy exists. Key AI concepts are explained in a new guide.
The terms AI, ML, DL, GenAI, LLMs, RAG, and Agentic AI are often used interchangeably, but they represent distinct concepts within the field of artificial intelligence. As we delve into the hierarchy of these technologies, it becomes clear that Agentic AI represents a significant step forward, enabling systems to manage end-to-end workflows and make autonomous decisions.
This development matters because Agentic AI has the potential to revolutionize the way we approach complex tasks, allowing machines to plan, reason, and act with limited human supervision. By leveraging large language models (LLMs) and other tools, Agentic AI systems can pursue complex goals and complete tasks autonomously.
As the field of Agentic AI continues to evolve, it will be important to watch how these systems are developed and deployed. With the ability to autonomously make decisions and act, Agentic AI has the potential to transform industries and revolutionize the way we work. As researchers and developers continue to push the boundaries of what is possible with Agentic AI, we can expect to see significant advancements in the years to come.
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