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From word prediction to task completion: how LLMs evolved

Original: From "predict the next word" to "take actions until the job is done" – Vasudev Gupta explains the evolution of LLMs and

Vasudev Gupta has published an explanation of how large language models developed from simple next-word predictors into systems that can take actions until a task is complete. Writing on HackerNoon, he traces the evolution of LLMs through what they are trained to do and shares the mental model he uses to make sense of the fast-moving field. The piece is drawing attention among readers tracking the shift toward agent-like AI systems.

Why now: Interest in how LLMs are moving from text generation to autonomous task-completing agents is high right now.

Vasudev GuptaHackerNoonlarge language models

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Evidence

• From "predict the next word" to "take actions until the job is done" – Vasudev Gupta explains the evolution of LLMs and which mental model helps him make sense of the field. https:// hackernoon.com/the-evolution-o f-llms-explained-through-what-we-train-them-to-do (via @… · dw_innovation · 4

API: https://socialmediatrends-api.osmike.com/v1/trends/4851293