LLM Evaluations

LLM evaluations

Generative AI investments often fall short of their potential. Make sure your experience is different.

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For over a decade, we’ve helped organizations across all kinds of industries to gain maximum value from AI. Our LLM evaluations service provides precise feedback loops, assessing your LLM solutions across business cases, data, user experience, and AI dimensions. This ensures your genAI investments align with real business value, track progress, and identify potential issues early. Combined with �� AI engineering, platforms, and operations services, our LLM evaluations enable you to move from PoC to production with confidence.

Get in touch

LLM evaluations

Get in touch

Generative AI investments often fall short of their potential. Make sure your experience is different.

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Imagine transforming your AI implementation at every step of the workflow.�� Our �� AI Research Labs teams have developed cutting-edge tools like �� Laibel™, an AI accelerated data labeler that uses machine teaching to accelerate AI model training, fine-tuning and evaluation.

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It's what we do.

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Assess and boost LLM accuracy

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Reduce hallucinations and create genAI applications that consistently deliver accurate, dependable results — and proactively detect and resolve potential issues.

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Evaluate approaches and costs

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Understand the accuracy, efficacy and cost of different approaches to evaluating your LLM based on the needs of each use case.

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Enhance data security and compliance

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Build genAI systems that deliver meaningful business value while adhering to all relevant security, regulatory and operational standards.

Build trust and align with goals

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Gain confidence in your genAI applications through transparent evaluation methods, metrics and reporting. Ensure they deliver tangible ROI and support your business objectives.

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Explore

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1 hour session

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Understand what’s possible with genAI through a short, high-impact session with experts from �� AI Research Labs.

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Assess and strategize

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Duration: 4–8 weeks

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Define the right use cases, assess your genAI readiness, and create a strategy for effective LLM application deployment and adoption.

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Implement

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Duration: 3–6 months

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Work with relevant stakeholders to implement metrics, develop datasets, test LLM applications, build interfaces and dashboards, and conduct user acceptance testing.

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Monitor

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Duration: 1–2 months

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Give your stakeholders the skills to use reports, dashboards and documentation to continually evaluate genAI application performance in production.

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We effortlessly integrate a diverse range of ecosystem partners and platforms, enhancing adaptability and accelerating outcomes.

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Generative AI

Solving GenAI's great challenge: Evaluating your LLM in production

Can you trust the accuracy and reliability of your large language model (LLM) outputs? The opaque nature of LLMs is one of the biggest challenges preventing organizations from getting great AI concepts into production. In this webinar, our AI experts will discuss how to evaluate LLM effectiveness and risks.

Watch on demand