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Pipeline Experiments: Optimize AI with Data-Driven Experimentation

Pipeline Experiments: Optimize AI with Data-Driven Experimentation
Enhance AI performance with structured testing, evaluation, and real-time optimization across multiple AI pipelines.
Why Choose ORXTRA's Pipeline Experiments?
AI models need continuous testing and fine-tuning to deliver high accuracy, relevance, and efficiency. DXwand’s Pipeline Experiments empowers businesses to run structured AI experiments, analyze results, and automate optimizations—all within a controlled environment.

A/B Testing for AI Models & Configurations

Compare different AI models , chunks, metadata, embeddings, and more configurations in real time to determine which delivers the best accuracy and performance.

Automated Model Evaluation

Evaluate models based on predefined criteria, ensuring that only the most effective configurations are deployed.

Multi-LLM Performance Benchmarking

Test and benchmark 20+ LLMs (open-source, commercial, and DXwand fine-tuned models) for different use cases.

Customizable Experiment Pipelines

Define and automate complex AI testing workflows without writing a single line of code.

Detailed AI Explainability

Tap into details and reasons of none well performing prompts with a recommendation of optimization

Live Monitoring & Performance Insights

Get real-time dashboards tracking AI accuracy, efficiency, and cost-per-inference metrics.

ORXTRA Experiments Benefits
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