The introduction of ChatGPT has made LLMs widely adopted across various sectors, thanks to their vast training data and emergent abilities that enhance their functionality.
LLMs, defined by their reliance on past sequences, struggle with limitations in accuracy and reasoning. Yann LeCun emphasizes that their auto-regressive nature can lead them away from correct answers.
To address the deficiencies of LLMs, advanced agents have emerged as crucial tools, functioning like a Swiss Army knife by enhancing reasoning, providing real-time updates, and autonomously completing tasks.
Gartner outlines AGI as AI's capacity to learn and apply knowledge across diverse tasks, a milestone not yet achieved, given the static nature of LLMs.
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