Our approach to Generative AI (GenAI) and Large Language Models (LLMs) is driven by our vision to make AI accessible to everyone.
From world-class research that pushes the boundaries of what’s possible with AI, to customized AI models and exceptional engineering, we have been moving aggressively to make AI faster, greener, and more efficient for people, businesses everywhere while addressing regional languages and needs.
Foundation Models
Democratizing foundational models shows our dedication to the AI community.
PhởGPT
LLM for Vietnamese
A new LLM developed for the Vietnamese nuances. PhoGPT is highly competitive compared to the closed-source GPT-4 model.
PhởWhisper
Automatic Speech Recognition for Vietnamese
Available in 5 versions: base, tiny, small, medium, large. Its robustness is achieved through fine-tuning the multilingual Whisper on an 844-hour dataset that encompasses diverse Vietnamese accents.
SwiftBrush
Instant Image Generation
SwiftBrush v2 sets a new standard in AI image generation. Unlike other models, it creates high-quality images (low FID) in a single step, surpassing both Generative Adversarial Network (GAN) and multi-step Stable Diffusion approaches.
Products & Frameworks
Customizing and enhancing the efficiency of Generative AI models for enterprizes and developers
PRAISE
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Deliver efficient and secure generative AI solutions tailored for your business needs
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Equipped with capabilities for tabular Question and Answer and text-to-SQL queries
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Provide comprehensive multilingual support, including low-resource languages
AutoRAG
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Automatic service for Generative AI developers to build domain-specific foundation model
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Include capabilities for fine-tuning end-to-end genAI applications, such as Retrieval-Augmented Generation (RAG) applications
Generative AI Research
Pioneering world-class research in Generative AI and LLMs.
PhởBERT
Pre-trained Language Models for Vietnamese
Available in both "base" and "large" versions, PhoBERT delivers state-of-the-art performance on four key tasks: Part-of-speech tagging, Dependency parsing, Named-entity recognition, and Natural language inference.
XPhoneBERT
Phoneme Representations for 100 Languages and Locales
XPhoneBERT is the first pre-trained multilingual model for phoneme representations for text-to-speech (TTS). It is trained using 330M phoneme-level sentences from nearly 100 languages and locales.
BERTweet
The 1st Public LLM Pre-trained for English Tweets
Trained based on RoBERTa pre-training procedure and a corpus of 850M English Tweets (16B word tokens) in which 5M Tweets related to the COVID-19 pandemic.
Wavelet Diffusion
Fast Sampling Diffusion Model
Wavelet Diffusion introduces a wavelet-based diffusion scheme to enhance the speed of diffusion models compared to GANs, by efficiently processing image components while maintaining generation quality and boosting training convergence with a reconstruction term.v
Anti-DreamBooth
Protect Personal Published Images From Unwanted Uses
Anti-DreamBooth defends against misuse of personalized text-to-image synthesis, like fake news or harmful content generation. It adds noise to user images before publishing, preventing personalization techniques from learning them.
Dataset-Diffusion
Images and its Segmentation Generator
A technique to extract pixel-level semantic segmentation labels of images generated by Stable Diffusion (text-to-image) models.