<ul><li>Agentic AI is better for complex automation as it involves AI agents working independently but collaboratively to achieve big goals.</li><li>AI agents are powered by Large Language Models (LLMs) like GPT-4, enabling them to understand and process vast amounts of data.</li><li>Different LLMs are specialized for specific tasks, such as T5 for text summarization and translation, DistilBERT for real-time applications like customer support chatbots, ALBERT for text classification in mobile apps, MiniLM for document ranking, and TinyBERT for fast text processing on edge devices.</li><li>Distributed learning allows AI agents to continuously improve their performance, and metrics can be used to measure their effectiveness and make necessary adjustments.</li></ul>

Why agentic AI is better for complex automation

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