Sublime
An inspiration engine for ideas
Over the last 2 yrs, I've helped 35+ companies improve their AI products.
I distilled my approach into this guide, which covers error analysis, synthetic data, eval-human alignment, involving domain experts, optimizing # of experiments & more (1/5)
https://t.co/Kn3hyq5zf2
Hamel Husainx.comCapture all of your AI product data
Get the full picture of your model's performance. Log inputs and outputs and seamlessly enrich them with metadata and user feedback.
02
/
05
Analyze model performance
Figure out how your model is really working, and where you can improve. Monitor for errors and discover underperforming cohorts and use cases.
03
/
05
Impr... See more
Get the full picture of your model's performance. Log inputs and outputs and seamlessly enrich them with metadata and user feedback.
02
/
05
Analyze model performance
Figure out how your model is really working, and where you can improve. Monitor for errors and discover underperforming cohorts and use cases.
03
/
05
Impr... See more
Gantry | Build AI your users trust
Here’s your blueprint to the essential layers:
- Models: The brain of the operation. This includes foundational models, fine-tuned versions, or custom builds (think Grok, OpenAI).
- Data Layer: The fuel that feeds the brain. This means robust collection, meticulous cleaning, precise labeling, secure storage, and constant, real-time updating.
- Infrastru
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