From Prompting to Reasoning: How Modern LLMs Handle Complex Tasks
Early interactions with large language models were simple. You asked a question, got an answer, and moved on. The quality of the result depended mostly on how well the prompt was written. That phase didn’t last long. As LLMs began handling more complex tasks, analysis, planning, decision support, teams realized that better prompting alone wasn’t enough. The shift from prompting to...
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