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Supervised Fine TuningFine-tune AI models using expert labeled datasets.
Reinforcement Learning with Human Feedback (RLHF)Train AI models using human-in-the-loop feedback
Data GenerationGenerate new data through novel methods such as essentialsfor training models, decision making, and innovation.Reinforcement Learning Human in-the-loop (RLHF)
Annotation27 years of Training AI Models with expert labeling
Relevance and IntentAssess how well model outputs align with user intent and context
Expert EvaluationsUnmatched domain expertise for prices model tuning
Data Quality FrameworkExceptional quality across every stage of the AI training
NIMOEnhanced Monitoring, Detection and Validation
BenchmarkingEvaluate the performance of Large Language Models within specific domains using defined metrics.
Model SelectionDiscover optimal machine learning models based on specific use cases, data characteristics, and performance requirements.
Red TeamingSimulate challenges to data integrity and enhanced resilience.
Case StudiesRead the latest case studies about advancements in LLMs and AI
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Our StoryEvaluate the performance of Large Language Models within specific domains using defined metrics.
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