Programmatic Model Training
Programmatic Model Training
Programmatic Model Training
Rapidly test and train your models using feedback from targeted and curated users.
Rapidly test and train your models using feedback from targeted and curated users.
The Process - Step by Step
Define Target Audience
Work with us to specify audiences, use cases, edge cases, and red-teaming goals for your model.
Run iterative training + feedback loops
Launch rounds of model outputs, collect high-quality user feedback (or adversarial inputs) via programmatic panels, and feed corrections back into training.
Evaluate, refine, and deploy
Analyze performance, surface failure modes or biases, iterate quickly, and deploy improved model versions into your production environment.
Setup
Validate
Analyze
Refine
Export
Benefits / Why we do it best
01
Scale quality feedback efficiently
Instead of ad hoc manual testing, you get structured, repeatable feedback from relevant users at scale.
02
Rapid iteration & model improvement
Continuous, automated loops let you uncover blind spots faster and adapt the model more responsively.
03
Robustness & risk mitigation
Red-teaming as part of the training process helps you catch adversarial cases, bias, or safety issues before deployment.
01
Scale quality feedback efficiently
Instead of ad hoc manual testing, you get structured, repeatable feedback from relevant users at scale.
02
Rapid iteration & model improvement
Continuous, automated loops let you uncover blind spots faster and adapt the model more responsively.
03
Robustness & risk mitigation
Red-teaming as part of the training process helps you catch adversarial cases, bias, or safety issues before deployment.
01
Scale quality feedback efficiently
Instead of ad hoc manual testing, you get structured, repeatable feedback from relevant users at scale.
02
Rapid iteration & model improvement
Continuous, automated loops let you uncover blind spots faster and adapt the model more responsively.
03
Robustness & risk mitigation
Red-teaming as part of the training process helps you catch adversarial cases, bias, or safety issues before deployment.
Frequently Asked Questions
What does ArcticBlue do with executive teams?
Have you deployed AI solutions in heavily regulated industries?
What will executive teams learn from ArcticBlue?
Is ArcticBlue a traditional consulting firm?
How quickly can ArcticBlue deliver results?
Do we need Data Scientists to work with you?
Frequently Asked Questions
What does ArcticBlue do with executive teams?
Have you deployed AI solutions in heavily regulated industries?
What will executive teams learn from ArcticBlue?
Is ArcticBlue a traditional consulting firm?
How quickly can ArcticBlue deliver results?
Do we need Data Scientists to work with you?
Frequently Asked Questions
What does ArcticBlue do with executive teams?
Have you deployed AI solutions in heavily regulated industries?
What will executive teams learn from ArcticBlue?
Is ArcticBlue a traditional consulting firm?
How quickly can ArcticBlue deliver results?
Do we need Data Scientists to work with you?
The Process - Step by Step
Define Target Audience
Work with us to specify audiences, use cases, edge cases, and red-teaming goals for your model.
Define Target Audience
Work with us to specify audiences, use cases, edge cases, and red-teaming goals for your model.
Run iterative training + feedback loops
Launch rounds of model outputs, collect high-quality user feedback (or adversarial inputs) via programmatic panels, and feed corrections back into training.
Run iterative training + feedback loops
Launch rounds of model outputs, collect high-quality user feedback (or adversarial inputs) via programmatic panels, and feed corrections back into training.
Evaluate, refine, and deploy
Analyze performance, surface failure modes or biases, iterate quickly, and deploy improved model versions into your production environment.
Evaluate, refine, and deploy
Analyze performance, surface failure modes or biases, iterate quickly, and deploy improved model versions into your production environment.
Setup
Setup
Validate
Validate
Analyze
Analyze
Refine
Refine
Export
Export
Define Target Audience
Work with us to specify audiences, use cases, edge cases, and red-teaming goals for your model.
Define Target Audience
Work with us to specify audiences, use cases, edge cases, and red-teaming goals for your model.
Run iterative training + feedback loops
Launch rounds of model outputs, collect high-quality user feedback (or adversarial inputs) via programmatic panels, and feed corrections back into training.
Run iterative training + feedback loops
Launch rounds of model outputs, collect high-quality user feedback (or adversarial inputs) via programmatic panels, and feed corrections back into training.
Evaluate, refine, and deploy
Analyze performance, surface failure modes or biases, iterate quickly, and deploy improved model versions into your production environment.
Evaluate, refine, and deploy
Analyze performance, surface failure modes or biases, iterate quickly, and deploy improved model versions into your production environment.
The Process - Step by Step
