Generative AI services

LXT for Generative AI
When building a Generative AI solution, ensuring that its output is accurate, ethical and responsible should be a top priority to build trust with customers and users. Human feedback is essential to evaluate the data used to train your machine learning models, both in the product design phase as well as in the tuning phase after the solution has been launched into the market.
To ensure that machine learning models produce content that is accurate, comprehensive and reflective of different styles and contexts, data quality and diversity should be prioritized. AI must also be evaluated to identify and mitigate bias, offensive language or inappropriate content, particularly with customer-facing applications. After launching a product, robust evaluation metrics and mechanisms for gathering user feedback are important to provide input for model improvement iteratively and allow for continuous improvement.

Data to power your Generative AI
LXT Generative AI services

Data collection for fine tuning LLMs

Domain-specific text creation

Data collection for LLM language expansion

Prompt creation

Data evaluation

Toxic language identification

Secure services
With the accelerating volumes of data created daily and the number of potential threats on the rise, security is an increasing area of concern for organizations across all industries. Our platform and processes are designed to ensure the security of your data.
To meet the most stringent security requirements, our facilities are ISO 27001 certified and PCI DSS compliant. We also offer supervised transcription within a secure facility to safeguard your data. We will work closely with you to design a secure solution that meets your needs.
