I Replaced GPT-4 with a Local SLM and My CI/CD Pipeline Stopped Failing

# When Smaller AI Models Work Better Than Bigger Ones A developer found that switching from OpenAI's powerful GPT-4 to a smaller, locally-run AI model actually made their software more reliable—the bigger model kept producing inconsistent results that broke their automated testing systems. The lesson: sometimes the most famous AI isn't the best choice for work that needs to be dependable, especially when you need the same answer every time rather than creative variation. This suggests companies should test different AI models for their specific needs instead of automatically assuming the biggest name is the safest bet.
The hidden cost of probabilistic outputs in systems that demand reliability The post I Replaced GPT-4 with a Local SLM and My CI/CD Pipeline Stopped Failing appeared first on Towards Data Science.
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