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Portfolio
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We offer comprehensive testing across various dimensions and tailored to specific needs for any LLM or NLP use-case. Regardless of whether or not LLMs are leveraged to perform classical Natural Language Processing (NLP) tasks, QuantPi’s testing framework can be used. Examples below:
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Document Q&A
Performance: Evaluate how accurately the system retrieves relevant information and generates concise answers using metrics like exact matching, BLEU score, or BERTscore.
Robustness: Assess how typos and minor input variations affect the system's performance.
Security and Privacy: Assess guardrails, such as, prompt injection attacks that aim to extract sensitive information or manipulate the system.