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LILT Introduces New Features to Help Businesses Manage AI Models, Improve Content Quality, and Reach Global Audiences

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New Tools – Bring-Your-Own Model, Data Labeling and AI Video Dubbing –  Simplify AI Management, Improve Multilingual AI Results, and Make Video Translation Seamless As Part Of The Company’s Quarterly AI Day

LILT, the leading AI solution for enterprise translation and content creation, today has launched powerful new features to help businesses get the most out of their AI tools. Announced during LILT AI Day, the company’s quarterly virtual showcase event, the new tools—Bring-Your-Own (BYO) Model, Data Labeling, and AI Video Dubbing—give businesses greater control over how they use AI, improve translation quality, and make it easier to create videos for global audiences.

Also Read: Trellix Achieves the AWS Generative AI Competency

“For foundational LLMs to better serve audiences around the world, they need high quality multilingual data,” said LILT CEO Spence Green. “LILT Data Labeling is already being employed by major GenAI companies to train their LLMs with reliable datasets that are reinforced by LILT’s network of native-speaking, domain experts.”

Bring-Your-Own (BYO) Model
LILT’s newest interoperability feature makes it easy for businesses to manage all their AI models in one place. With LILT’s BYO Model, enterprises can now:

  • Use models from LILT, other providers, or their own in-house AI teams.
  • Match the right AI model to the right task, such as translation or content creation.
  • Simplify AI management while improving efficiency and results.

Data Labeling
LILT’s newest module helps businesses improve their AI tools by creating better training data. This new feature in the LILT platform enables LILT’s network of linguists to:

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  • Label and refine data for multilingual AI models in a secure environment.
  • Improve AI output for conversational tools and other applications.
  • Provide businesses with ready-to-use, high-quality datasets.

Already deployed with the world’s leading AI research teams to train some of the most popular AI models available, this module helps conversational AI from the world’s leading model providers speak other languages.

Video Dubbing
LILT’s new Instant Video Dubbing feature offers an additional multimodal capability to LILT’s suite of AI-enabled products. This makes it easier for businesses to create multilingual videos.

Also Read: Why Woolworths Went Big on AI Personalisation

Customers can:

  • Automatically caption, translate, and dub videos in one step.
  • Use their existing custom AI models for higher-quality results.
  • Reach global audiences quickly and accurately with localized video content.

Enterprise Control Enhancements
LILT also introduced new options to help businesses manage AI usage and costs more effectively:

  • Enterprise Domains: LILT’s Enterprise Domains enables customers to create and manage data sets, custom localization models, and workflows that are specific to team, function, and business use case. Admins can control user data access for setting domain-specific custom models, data sources, file loaders, language pairs, and b******.
  • Quoting Controls: Enterprise users can now request, review, and approve project quotes right within the LILT platform. With this simplified approval process, program managers and administrators can now review costs transparently and control translation spend right from within LILT.
  • Custom File Loader Enhancements: New customization features allow customers to upload and process complex file formats aligned to organizational preferences, including subfilters and custom segmentation for enhanced workflow and quality control.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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