A writer explores using Large Language Models (LLMs) for practical tasks beyond their typical applications, focusing on sentiment analysis. By developing clear prompts and leveraging local LLMs like Ollama, the author successfully creates a basic but effective tool for analyzing text sentiment, demonstrating that LLMs can be useful when applied thoughtfully to specific problems.
Read the full article at Hackaday
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