<ul><li>Deploying GenAI applications is more complex in practice despite the availability of APIs like OpenAI and Google.</li><li>Creating customized evaluations for LLMs is important to accurately assess their performance for specific use cases.</li><li>Implementing input and output guardrails is crucial to safeguard users and systems from potential risks.</li><li>Experimenting with response formats and proactively detecting and repairing failures are essential for effective GenAI deployment.</li></ul>

What Nobody Tells You About Deploying GenAI

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