Overview
The transition from experimentation to production is where most GenAI projects face their toughest hurdles, from cost management to unpredictable model behavior. This session provides a roadmap for safely deploying GenAI while maintaining model integrity and user trust.
- Understand the key differences between testing environments and live production risks.
- Learn to identify and mitigate deployment-specific vulnerabilities like data drift and prompt injection.
- Discover industry benchmarks and strategies for managing the long-term reliability of AI applications.
Meet our speakers
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