RLHF Services

For LLMs, LVMs & Foundation Models

Leverage iMerit’s international network of domain experts and skilled annotators to enhance training data quality, improve model performance, and fine-tune model outputs.

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Improve Model Outputs

With Reinforcement Learning from Human Feedback (RLHF)

Source Expertise

Employ experienced domain and data specialists across modalities for your Generative AI projects.

QC & Data Correction

Assess and categorize model outputs with custom scoring parameters for adjustments.

Model Alignment

Ensure model outputs align with policies and objectives for greater precision and accuracy.

RLHF Automation

Deploy Human-in-the-loop processes and automation with the iMerit Ango Hub platform.

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Expert Services

For Optimizing Accuracy of LLMs & LVMs

Source unique expertise through iMerit’s global network of professional annotators and subject matter experts. Our network is constantly evolving with experts in cutting-edge fields around the latest AI developments.

  • Domain Expertise: Staff your project via iMerit’s international network of experts in leading-edge disciplines and domains.

 

  • Scalable Expert-in-the-Loop: Scale data operations and experts-in-the-loop throughout all stages of the ML development lifecycle.

 

  • Expert Feedback: Employ expert feedback such as labels, ratings, corrections, and explanations at all stages of ML dataops.

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 Auditing, QC, and Data Correction

Evaluate and optimize model outcomes with expert auditing, quality control, and proven data correction processes.

Output Evaluation

iMerit teams evaluate and score model outputs for measuring accuracy. Identify opportunities for training data improvement.
Quality Control

Establish quality parameters and procedures to ensure training data integrity before employing it as training data.
Data Correction

Edit and correct training data and prompt generation for improved model output quality.

Model Alignment

Collaborate with iMerit’s Experts and Quality Control Teams

  • Model Explainability: Interpret and understand the prompt/response behind model decisions, predictions, and outcomes.

 

  • Performance Scoring: Domain experts evaluate model outcomes and use Likert scales to score them against their intended use.

 

  • Prompt/Response Pairing: Experts measure prompts and responses based on scoring to further inform prompt engineering.

RLHF Platform Automation

FOR LLMS, LVMs, & FOUNDATION MODELS

iMerit Ango Hub is a flexible platform for data pipeline management and model fine-tuning that incorporates workflow design, model integration, RLHF, and analytics in a single place.

Data Pipeline Automation

Flexible platform enabling scalable workflow automation for efficiency gains.
Model APIs & Plugins

Flexibly integrate models, tools, software, and more to automate your specific use cases.
Quality Audits

Define custom qualitative evaluation metrics, ensuring maximum model efficiency.
Audit Tracking

Capture data from human feedback and scoring processes that improve future iterations.
Annotation Tooling

State-of-the-art annotation tools for images, video, text, and audio data.
Reporting & Analytics

Gain visibility into project performance and trends and identify areas for improvement.

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The need for speed in high-quality data annotation has never been greater. iMerit combines the best predictive and automated annotation technology with world-class data annotation and subject matter experts to deliver the data you need to get to production, fast.

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