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LLM vs. AI Agent: Clarifying the Distinction

Dr. Haina Fatima, who leads development at XINI8 Engine, clarifies the distinction between Large Language Models (LLMs) and AI agents. She explains that LLMs are trained to predict the next token in a sequence, enabling them to perform tasks like answering questions or writing code, but they are inherently stateless and passive. AI agents, on the other hand, are LLMs integrated into a loop with a goal and tools, allowing them to take actions, observe results, and iterate towards a defined objective. AI

IMPACT Clarifies core concepts for AI practitioners and developers.

RANK_REASON Expert clarifies technical distinction between LLMs and AI agents.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LLM vs. AI Agent: Clarifying the Distinction

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Expert clarifies technical distinction between LLMs and AI agents.
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COVERAGE [2]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Hi, I'm Dr. Haina Fatima. I started my career as a physician and radiologist, and today I lead development and product at XINI8 Engine, an AI-native software en

    Hi, I'm Dr. Haina Fatima. I started my career as a physician and radiologist, and today I lead development and product at XINI8 Engine, an AI-native software engineering platform within the XINI8 ecosystem. Coming from outside traditional software, the terms "LLM" and "AI agent" …

  2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

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