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Blue Heart Large Model - vivo's new self-developed general-purpose large model matrix, featuring 3 billion edge-side large models.

The Blue Heart Big Model is a newly released self-developed general-purpose big model matrix from vivo, including language big models, device-side big models, speech big models, image big models, and multimodal big models. It plays a crucial role in multiple domains and scenarios...

What is the Blue Heart large model?

The Blue Heart Big Model is a brand-new self-developed general-purpose big model matrix released by vivo, including language big models, device-side big models, voice big models, image big models, and multimodal big models. It plays an important role in multiple fields and scenarios, such as content creation assistance, knowledge question answering systems, logical reasoning and analysis, code generation and software development, information extraction and data analysis, automated office work, multilingual translation and localization, and creative entertainment.

Blue Heart Model Matrix

  • Blue Heart End-Side Large Model 3BThis device boasts a massive 3 billion parameter model designed for mobile devices. It excels in dialogue writing, summarizing, and information extraction, rivaling the 7B parameter model. Compared to its predecessor, the 3B model offers a 300% performance improvement, while reducing power consumption by 46% and memory usage by 63% in balanced mode. It achieves an extreme word generation speed of 80 words per second, with a system power consumption of only 450mA and memory usage of only 1.4GB. It ranks among the top in both SuperCLUE and Equal Eval small model comprehensive performance evaluations and has received certifications from the Telecommunication Technology Labs (TTL) for comprehensive edge-side large model capabilities and AIIA security protection capabilities.
  • Blue Heart Voice ModelThe model can accurately understand natural language, simulate human voice, and express emotions. It supports simultaneous interpretation and has added support for dialects such as Sichuanese, Miao, and Cantonese, further expanding its service scope.
  • Blue Heart Image Large ModelThe model enhances the ability to integrate Chinese characteristics and Eastern aesthetics, supports traditional Chinese ink painting art, and can incorporate Chinese character elements during image generation. It is one of the image models in China that best understands the Chinese context.
  • Blueheart Multimodal Large ModelThe model has upgraded its visual perception and understanding capabilities, enabling a deeper understanding of the mobile phone screen and providing a smoother and more natural experience in real-time dialogues in video streams.

The main functions of the Blue Heart large model

  • Content creationBlueHeart's large model can assist users in text creation, including writing articles, blogs, poems, and stories.
  • Knowledge Q&AThe model can quickly provide Q&A services for everyday knowledge and professional expertise, helping users obtain the information they need.
  • Logical reasoningThe Blue Heart Big Model is capable of performing complex logical reasoning, including logical reasoning, common sense reasoning, and scientific reasoning.
  • Code generationThe model has code generation capabilities, helping developers write and optimize code.
  • Information ExtractionBlue Heart's large model can extract key information from large amounts of text, making it suitable for data analysis and information management.
  • Multilingual supportThe model supports multilingual processing, enabling translation and localization services.

Technical principles of the Blue Heart large model

  • Deep learning frameworkBlue Heart's large model uses deep learning frameworks such as TensorFlow or PyTorch to build and train its complex neural networks.
  • Large-scale pre-trainingThe model is pre-trained on a large amount of text data to learn language patterns and structures, using the Transformer architecture, a model architecture that performs well in NLP tasks.
  • Attention mechanismThe attention mechanism in the Transformer model enables the model to better understand and process the relationships between different parts of the input data.
  • Fine-tuningBased on pre-training, the model will be fine-tuned for specific tasks to improve its performance on those tasks.
  • End-to-end learningBlue Heart's large model adopts an end-to-end learning approach, where the entire process from input to output is continuous and requires no human intervention.

Blue Heart Large Model Project Address

Application scenarios of Blue Heart large model

  • Content creation assistanceBlueLM helps users generate creative text, write articles or blogs, and even create poetry and stories, improving writing efficiency and quality.
  • Knowledge Question and Answer SystemIn the fields of education and research, BlueLM provides accurate Q&A services to help learners and researchers quickly obtain the information they need.
  • Logical reasoning and analysisIn fields such as law and finance that require complex logical reasoning, BlueLM can analyze and solve complex logical problems, assisting in decision-making.
  • Code generation and software developmentFor programmers and software developers, BlueLM can assist in writing and optimizing code, improving development efficiency.
  • Information extraction and data analysisIn the fields of big data analytics and information management, BlueLM can quickly extract key information from large amounts of text, assisting in data analysis and report creation.
  • Automated officeIn a typical office environment, BlueLM can help write and edit official documents and reports, and even automatically generate meeting minutes and email replies.