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The Good, the Bad and the Problematic Uses of LLMs

Blog post from VectorShift

Post Details
Company
Date Published
Author
Albert Mao
Word Count
1,010
Language
English
Hacker News Points
-
Summary

LLMs are being applied in various applications such as productivity tools like GitHub Copilot and Microsoft 365 Copilot which enhance coding efficiency, content generation tools like Jasper and CopyAI that help marketers generate copy, and customer support automation through chatbots. However, there are also cases where using LLMs has proven ineffective or even counterproductive, such as generating misleading information, biased output, and over-reliance on the technology without proper understanding of its limitations. To maximize the potential of LLMs, it's essential to selectively apply them depending on the specific task and model used, and to be aware of the existing limitations and risks associated with their use.