VALIDATION & TESTING FOR LARGE LANGUAGE MODELS
Partner with us today and unlock the full potential of LLMs while mitigating risks.
TEST CASE GENERATOR
LLM VENDOR PROVIDER
BESPOKEN LLM VALIDATION PIPELINE
Bespoken employs a meticulous LLM validation pipeline consisting of four key stages. This rigorous process ensures the accuracy, functionality, and safety of your LLM implementation:
- Entity-based validation: This step ensures that your LLM is able to correctly identify and respond to entities, such as people, places, and things.
- Rules-based validation: This step ensures that your LLM is able to follow the rules that you have defined for it correctly.
- LLM-based validation: This step uses an LLM to test your LLM. This allows us to use the power of large language models to identify and flag potential problems.
- Manual review: This step is performed by a human reviewer to ensure that all of the tests have been passed and that there are no additional problems.
BESPOKEN: AUDITING AND VALIDATION FOR LARGE LANGUAGE MODELS
Match Power with Power
Ensure Your Knowledge Base Has Not Been Corrupted
Bespoken will run tests for known customer questions to understand how your LLM responds.
Identify and Flag Hallucinations
Achieve peace of mind
ENHANCE THE PERFORMANCE AND RELIABILITY OF YOUR LLMS
MULTIPLE LAYERS OF TESTING
Our multi-faceted validation approach delivers reliable results, ensuring thorough evaluation and a deep understanding of your LLM’s performance.
TEST CASE GENERATION
Our comprehensive and diverse test cases identify weaknesses and vulnerabilities in your LLM, enabling fine-tuning for optimal performance.
THE BESPOKEN CLASSIFICATION PIPELINE
Leveraging advanced AI techniques, our classification pipeline identifies patterns, anomalies, and areas for improvement, optimizing your LLM’s operation.
HUMAN IN THE LOOP REVIEW
Our expert reviewers validate and refine results, combining AI and human expertise for the highest level of accuracy and quality.