Generative AI

Enhance foundational models with high-quality AI data

AI requires data

Whether you are building generative AI tools or using them to transform your business, the foundational models used to build generative AI and the outputs they create need human input to ensure the quality and accuracy of their results. Further, generative AI solutions require human expertise to deliver domain-specific solutions such as medical, legal and financial services applications.

Reinforcement Learning with Human Feedback (RHLF) is critical to building responsible and explainable generative AI solutions. With RHLF, a curated group of contributors evaluates the output of generative AI solutions, providing human oversight to ensure that the machine learning models used to train these solutions deliver non-offensive, accurate and unbiased results.

Generative AI
solutions include:

AI Data Model illustration
Code generation
ai data model illustration
Speech-to-speech conversion
depection of ai data
Conversational AI
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Text generation
lightbulb illustration for ai data innovation
Image generation
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Text-to-speech generation
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Personalized content creation
Annotation & Enhancement - AI Data

Data to power your Generative AI

LXT can help ensure that your Generative AI solutions have the high-quality data needed to deliver the optimal experience for your customers. From collecting data in multiple modalities -  including speech, text, image and video - to annotating data at scale, we provide solutions that help manage bias using a diverse group of contributors that maps to your domain. We also provide a 100% guarantee on our data quality to ensure we are meeting your organization’s quality standards.

Learn more about our data services for  AI

Data collection

Get large volumes of data fast across multiple data types, including speech, text, image and video.
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Audio annotation

This data annotation type is essential for building accurate natural language processing (NLP) models for a wide range of speech-based solutions.
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Image annotation

Image annotation is the process of creating metadata in the form of labels for image data.
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Text annotation

Text annotation is the process of creating metadata in the form of labels for text data.
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Search relevance

Users of social media media platforms and search engines expect fast and relevant results.
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Video annotation

Video annotation is the process of creating metadata in the form of labels for video clips.
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Transcription services

Transcription is used to help train and validate algorithms depending on the type of solution being built.
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