LLM testing Services

Ensuring Your LLM is More Than Just Words

By 2025, 750 million apps could be powered by LLMs. At Indium, we recognize that the efficiency of an LLM model is not just about the volume of trained data but also the depth and quality of testing. Our LLM Testing Services ensure that your models are accurate, reliable, fair, and resilient across a broad spectrum of criteria.

Our Services

Model Validation

AI-Assisted Test Data Creation

Leveraging our AI-based prompt generator with 35 different prompt types, we generate diverse and contextually rich test data, designed to challenge LLMs effectively.

Advanced Testing Techniques

Beyond traditional black-box testing, we employ Adversarial Testing, Metamorphic Testing, and Fairness & Bias Testing to ensure the robustness and reliability of your LLM.

Algorithm Accuracy Testing

Comprehensive Accuracy Measurement

We assess the accuracy of your LLM by analyzing correct results from a wide range of inputs, including extensive out-of-sample data tailored to real-world conditions.

In-Depth Reporting

Our testing process provides insights into patterns, error distribution, and influential features, contributing to a deeper understanding and refinement of the model.

Performance & Scalability Testing

Quantitative and Qualitative Assessments

We evaluate the performance of your LLM through metrics like response time, accuracy, precision, and recall, as well as qualitative assessments.

Scalability Analysis

Our testing identifies potential bottlenecks and ensures your LLM scales efficiently, even under peak conditions.

Our Approach

Comprehensive Testing Framework

Our approach to LLM testing goes beyond conventional methods by integrating AI-assisted tools and advanced techniques. This allows us to cover a wide range of criteria, ensuring thorough validation and optimization of your LLM models.

AI-Specific Testing Techniques

We utilize cutting-edge AI-specific techniques like Adversarial Testing and Metamorphic Testing to explore the boundaries of your LLM's capabilities. This ensures your model is not only accurate but also robust and adaptable to various scenarios.

Continuous Feedback and Improvement

Our testing process is iterative, providing continuous feedback on patterns, commonalities, and insights that help refine your LLM. This ensures ongoing improvements in accuracy, performance, and reliability.

Our

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How Indium Can Help

Pioneering LLM Testing

At Indium Software, we push the boundaries of LLM testing, ensuring your models meet the highest standards.

AI-Assisted Platforms

Our expertise in AI-assisted platforms enables precise and efficient validation of LLM models.

Advanced Testing Techniques

We utilize cutting-edge techniques like Adversarial Testing, Metamorphic Testing to deliver comprehensive accuracy testing and performance assessments.

Real-World Optimization

We ensure your LLM models are optimized for real-world challenges, enhancing their functionality and reliability.

Maximizing AI Investments

Partnering with us unlocks the full potential of your AI investments, leading to exceptional results.

Maintaining a Competitive Edge

Our services help you stay ahead in the AI landscape by delivering models that are both robust and innovative.

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