Reinforcement Learning
from Human Feedback
from Human Feedback
Optimize language model performance and alignment with high-quality preference data across multiple domains.
RLHF for LLMs
We provide end-to-end data labeling services to power RLHF for large language models—enhancing model alignment, optimizing relevance, and mitigating biases. Our expert annotators deliver high-quality preference data through output ranking and multi-criteria scoring across diverse domains and languages.
Output Ranking
Output ranking and scoring across multiple criteria
Enhance model alignment and performance with high-quality preference data
Acquiring accurate, unbiased human feedback is essential for effective RLHF but difficult to achieve at scale. reNAND.ai combines a global network of expert evaluators with a robust labeling platform to deliver high-quality preference data across specialized domains that push large language models toward state-of-the-art performance.
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Recent Project Experience
| Description | Domain | Modality | # of Experts | Duration | Accuracy |
|---|---|---|---|---|---|
Multi-criteria ranking of model coding outputs across coding languages (Java, SQL, JavaScript, Python, Go, C/C++) | Coding | Text | 20 | 8 months | 92% (90% req.) |
Model response scoring, categorization and annotation across domains (math, roleplay, language, education) | Multi-domain | Text | 40 | 15 months | 92% (90% req.) |
Multi-criteria scoring of language translation outputs | Language | Text | 20 | 1 month | 90% (90% req.) |
Multi-criteria ranking of model generated videos (realism, motion dynamics, consistency, alignment) | Art | Multi-modal | 25 | 1 month | 90% (90% req.) |
Platform content scoring for model safety Improvement | Language | Text | 15 | 6 months | 99% (98% req.) |
Multi-criteria ranking of model coding outputs across coding languages (Java, SQL, JavaScript, Python, Go, C/C++)
Domain
Coding
Modality
Text
# of Experts
20
Duration
8 months
Accuracy
92% (90% req.)
Model response scoring, categorization and annotation across domains (math, roleplay, language, education)
Domain
Multi-domain
Modality
Text
# of Experts
40
Duration
15 months
Accuracy
92% (90% req.)
Multi-criteria scoring of language translation outputs
Domain
Language
Modality
Text
# of Experts
20
Duration
1 month
Accuracy
90% (90% req.)
Multi-criteria ranking of model generated videos (realism, motion dynamics, consistency, alignment)
Domain
Art
Modality
Multi-modal
# of Experts
25
Duration
1 month
Accuracy
90% (90% req.)
Platform content scoring for model safety Improvement
Domain
Language
Modality
Text
# of Experts
15
Duration
6 months
Accuracy
99% (98% req.)
Our Global Expert Workforce
