I Spent 7 Days Removing Hallucinations Without Touching the Model
Author(s): Manash Pratim
Originally published on Towards AI.
I didn’t switch models, fine-tune, or add new data. I just stopped trusting the AI.
I didn’t switch models. I didn’t fine-tune. I didn’t add a single row of new training data. I just stopped trusting the AI.
The article discusses the author’s experience dealing with AI hallucinations in production systems without changing the model itself. The author implemented a series of engineering controls, such as logging everything, validating outputs, and allowing the model to express uncertainty, which collectively resulted in a significant reduction in hallucinations and errors. These practical steps emphasized the importance of enforcing reality and maintaining a critical stance toward model outputs instead of blindly trusting the AI.
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