Developer centric strategies for deploying AI models in production

"Ed Charbeneau: When integrating GenAI models into production, it's important to consider the technology's non-deterministic behavior. While some consistency is possible, there's always some variance from one output to the next. Additionally, upgrading or changing models can introduce unexpected results as new models process prompts differently. When changing models, some prompts may need to be simplified or rewritten."

"Ed Charbeneau: AI in disconnected environments such as mobile and web (Edge AI) often use local models. Local models are chosen for their speed, battery efficiency, and ability to run without a connection to the internet. However, the models need to sacrifice accuracy to meet the limitations imposed by the device's memory, battery, and other factors."

"Ed Charbeneau: Monitoring AI post-launch effectively is done through multiple channels that include automated testing, telemetry, and human-in-the-loop. Automated testing is ideal for identifying issues quickly, while collecting telemetry data with tools like Telerik Fiddler Everywhere Reporter or OpenTelemetry is useful for diagnosing long-term issues or detecting downtime. With technology like GenAI (where variance is possible), having a human in the loop as a checkpoin"

GenAI models exhibit non-deterministic behavior, producing variable outputs that can differ between runs. Model upgrades or swaps can change prompt interpretation and may require prompt simplification or rewrites. Edge AI for mobile and web commonly relies on local models to deliver speed, battery efficiency, and offline operation while sacrificing some accuracy due to device limits. Post-launch monitoring should combine automated testing, telemetry collection, and human-in-the-loop review to detect regressions and diagnose long-term issues. Telemetry tools like Telerik Fiddler Everywhere Reporter and OpenTelemetry support root-cause analysis. Agentic AI should be integrated into developer workflows with optimized tools and context management to boost productivity and reliability.

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