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What is AI Validation?
8 Reasons You Need AI Validation
Why Choose AI Validation Services
Why Choose Lionbridge AI™ Validation Services?
Embracing AI is vital to staying competitive in today’s markets, but it’s also expensive to have an underperforming Large Language Model (LLM). For many companies, their LLM is one of their largest investments. AI validation helps ensure your LLM delivers accurate, safe, and reliable outputs in real-world environments. It’s a critical step in improving model performance, reducing risk, and maximizing the value of AI investments. Read our blog to understand what AI model validation is, its benefits, and how to validate AI output effectively.
What is AI Validation?
AI validation tactics may vary from model to model, but the goal is always the same: ensure your LLM’s output is meeting business goals. Per a recent study, more than 80% of AI projects fail. Avoiding this (expensive) failure typically involves articulating broader business goals and how AI output should help achieve them. AI validation workflows often evaluate outputs across modalities such as text, audio, image, and video to assess performance, safety, and alignment with business goals.
Lastly, AI output validation processes should score this categorized content based on how well it aligns with larger company goals. Companies can work with a language solutions integrator to complete this process, and they may need AI data annotation, AI data collection, AI data labeling, or some combination of these AI data services.
8 Benefits of AI Validation
1. Accuracy: Ensuring an LLM’s output meets predefined accuracy standards
2. Consistency: Ensuring LLM output is always more consistent, predictable, and reliable
3. Safety: The LLM never performs in a way that puts humans at risk, physically or otherwise, across a wide range of use cases and conditions
4. Bias Reduction: Finding LLM’s biases and addressing them for consistently fair, equitable, and inclusive output
5. Compliance: Ensuring the LLM always performs according to industry or legal compliance guidelines and regulations
6. Transparency: Stakeholders know how the LLM is performing and can trust its workflows
7. Benchmarking Performance: Companies can compare their LLMs’ performance to various models for continued improvement
8. Generalization: Preparing the LLM to handle new data or input and continue performing as expected
Why Choose AI Validation Services
Performing AI validation requires extensive expertise in both AI and the subject matter on which the LLM is trained. Companies that are invested in true ROI from their AI models typically work with AI data services providers for external validation of AI models. AI data solutions companies have the experience, knowledge, and resources to help. Taking on AI model validation without these experts often brings some combination of these nine risks:
Misinterpretation of validation results, leading to the wrong steps for improving LLM performance.
Confirmation bias and overlooking errors and hallucinations in LLM performance.
Insufficient testing data or bias checks, which AI data experts typically avoid because they have the experience, resources, and human expertise to comprehensively train an LLM.
Forgetting edge cases, the rare but critical outlier data a model may need.
Neglecting security for sensitive data, something AI data services typically follow rigorous compliance protocols for.
Failing compliance requirements for industry or legal regulations, which could bring legal issues or steep fees.
Inadequate AI output validation techniques, which experts are well-practiced in choosing and performing for a model as needed.
Overfitting the model for a limited, unrepresentative data set.
Lacking human or computational resources to adequately validate, especially for complex models.
Why Choose Lionbridge AI™ Validation Services?
Choosing to engage AI data services for AI validation is foundational to getting optimal ROI and performance from your LLM, but so is choosing the right provider. AI and AI data services are a trendy new area, and not every company has the experience, resources, workflows, and transparency you need to improve model performance.
Lionbridge AI supports enterprise AI initiatives with global delivery, multilingual expertise, and human-in-the-loop evaluation workflows. We’ve built a strong team of global AI experts who also bring diverse, creative, multilingual perspectives. Lionbridge supports large-scale multilingual AI workflows across text, audio, image, and video. Rely on our experts and innovative AI validation techniques for any kind of content: audio, text, video, and images. Critically, we offer customized, flexible workflows built to your company’s unique measures of success. We’ll never implement a solution that does any more or less than what you need to reach your AI goals.
Here are four common ways Lionbridge provides AI validation to customers:
4 Common Ways Lionbridge Performs AI Validation
Get in touch
Ready to explore how AI validation can help your organization achieve its business goals? Want to ensure your LLM’s content generation is consistently reliable, accurate, and useful? Need AI systems that support multilingual and enterprise-scale initiatives? Let’s get in touch.
