Martin Fowler on Why he dislikes Large Language Models (LLMs)
Martin Fowler writes “I Don’t Like LLMs,” claiming that models provide false information with equal certainty as true information. And when they make mistakes, they only offer “fake apologies.”
Martin Fowler, one of the best authors about software development, recently published an article titled “I Don’t Like LLMs”. The main problem he sees is that they are providing incorrect answers equally confidently as correct ones. Also, their apologies are “fake”.
That’s a valid point, but it doesn’t apply to agents. An agent-based system with a pipeline including a tool for a specific task won’t have hallucinations (which would be obvious), so I wouldn’t make the comparison.
Source: martinfowler.com
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Evgenii Arsentev
PhD · Chief Executive Officer, digital health
Articles · Latest articles