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API & LLM Engineering

Large language models have opened up the possibilities to create business-specific AIs to support your customers better than ever.

However, LLMs require training data and ongoing tuning to perform well and conform to customers’ ethical expectations.

Often, the data assets needed to train models contain personal and sensitive data, which must be scrubbed before it can be used.

We monitor all data going into your training model, including initial training data and usage data from users, to remove personal data and bias from the AI system.

On an ongoing basis, we make sure your AI doesn’t use personal data to illegally treat your customers differently.

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Learn how we bring best practices and open standards to API monitoring with integrated API workflows, performance assurance and conformance analysis.