--- title: LILT Announces V3.5 Translation Models with Improved Quality description: "LILT Announces V3.5 Translation Models with Improved Quality\n\nNewest Models Outperform Market Peer Models in Inference Time and Quality" image: https://labs.lilt.com/hubfs/Lilt-Press%20Release.jpg --- - [Lilt.com](https://lilt.com/) - [Resources](https://lilt.com/resources) - [Lilt.com](https://lilt.com/) - [Resources](https://lilt.com/resources) ## LILT Announces V3.5 Translation Models with Improved Quality ![](https://labs.lilt.com/hubfs/Sq_AllisonYarborough_MimAdkinsPhoto2016_0072.jpg) by Allison Yarborough April, 5, 2024 3 Minute Read - - - ## LILT Announces V3.5 Translation Models with Improved Quality *Newest Models Outperform Market Peer Models in Inference Time and Quality* **• • •** San Francisco, CA - April 4, 2024** -** [LILT](https://lilt.com/), the leading AI solution for enterprise translation and content creation, today announced the platform’s newest models, security capabilities, and API enhancements. The 90 minute live virtual event focused heavily on LILT-V3.5, LILT’s newest models that leverage reinforcement learning to optimize for content accuracy and fluency. “With LLMs powering our platform at its core, model performance is critical for our business and our customers,” said LILT CEO Spence Green. “We’re excited to share that we continue to provide industry-leading translation models with best-in-class accuracy and latency.” ###### LILT-V3.5 Models LILT’s newest-generation LLMs offer improved speed and accuracy, outperforming popular general purpose and translation models including GPT-4, DeepL, and ModernMT. LILT-V3.5 has 6X more parameters than LILT-V2, with inference improvements that have reduced translation times. LILT-V3.5 is based on the transformer architecture, featuring optimized fused attention operators and direct preference optimization. Purpose-built for translation, LILT-V3.5 translation models are optimized for translation tasks including tag projection, terminology integration, document structure, and other localization use cases. ###### On-Premise Security Compliance LILT’s newest integration with Palantir FedStart allows multiple customers to access LILT on premise in an IL4/IL5 environment, enabling the use of LILT for processing of content that is controlled, has higher sensitivity, and is mission critical. With the ability to newly deploy LILT across additional agencies, teams, and environments, government analysts, translators, and project managers working on GovCloud IL4 environments can now process more multilingual content than ever before, utilizing LILT software to efficiently translate material. ###### API Enhancements LILT released a modernized, well-documented, and extensively tested public API that caters to both current and future LILT customers. The new API is designed for developers and organizations seeking a seamless, flexible, and secure way to self-configure integration with LILT. This capability ensures continuity for existing users while offering new, customizable options through API gateways. LILT released these API upgrades in tandem with additional improvements to its low-code/no code Connector self-orchestration feature, further enabling businesses to self-serve integration setup and automated content exchange. These new features are available to enterprise and public sector LILT customers and are in production starting today. For more information about LILT and its AI-powered solutions, please reach out to [contact@lilt.com](mailto:contact@lilt.com). • • • ###### About LILT *LILT is the leading AI solution for enterprise translations. Our stack, made up of our Contextual AI Engine, Connector APIs, and human feedback, enables global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With LILT, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale.* *Visit us at lilt.com or contact us at contact@lilt.com.* [View All Posts](https://labs.lilt.com) ### [![](https://labs.lilt.com/hubfs/Lilt-Press%20Release.jpg) December, 18, 2024 LILT Introduces New Features to Help Businesses Manage AI Models, Improve Content Quality, and Reach Global Audiences 4 Minute Read ![](https://labs.lilt.com/hubfs/Sq_AllisonYarborough_MimAdkinsPhoto2016_0072.jpg) 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 Read More](https://labs.lilt.com/lilt-introduces-new-features-to-help-businesses-manage-ai-models-improve-content-quality-and-reach-global-audiences?hsLang=en) ### [![](https://labs.lilt.com/hubfs/Tech%20Blog%20Post.png) March, 29, 2023 Introducing Lilt Contextual AI: In-Context Learning for Enterprise Localization 7 Minute Read ![](https://labs.lilt.com/hubfs/1538507977285.jpg) Today we’re excited to announce the Lilt Contextual AI Engine, a new generative language model that implements in-context learning (ICL). With 5x more parameters than the previous Lilt model it replaces, Contextual AI powers the Verified (with human verification) and Instant (fully automatic) enterprise localization workflows. Contextual AI outperforms both GPT-4 and Google Translate while remaining over 1000x more compact than GPT-4, meaning that self-managed customers of the Lilt AI Platform can deploy on their own compute. Read More](https://labs.lilt.com/technical-blog-post?hsLang=en) - [System Status](https://status.lilt.com/) - [Support Terms](https://lilt.com/terms) - [Privacy](https://lilt.com/privacy) - - - -  2026 Lilt, Inc.