Effective Communication in AI Engineering: Moving Beyond Vague Updates
The right way to do AI engineering updates
Helping software engineers enhance their AI engineering processes through rigorous and insightful updates.
In the dynamic realm of AI engineering, effective communication is crucial for project success. Consider two scenarios:
Scenario A: "We made some improvements to the model. It seems better now."
Scenario B: "Our hypothesis was that fine-tuning on domain-specific data would improve accuracy. We implemented this change and observed a 15% increase in F1 score, from 0.72 to 0.83, on our test set. However, inference time increased by 20ms on average."
Scenario B clearly provides more value and allows for informed decision-making. After collaborating with numerous startups on their AI initiatives, I've witnessed the transformative power of precise, data-driven communication. It's not just about relaying information; it's about enabling action, fostering alignment, and driving progress.