Congrong LM

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The multimodal large model independently developed by CloudScience has the ability of real-time learning, synchronous feedback, cross-modal interaction, etc. It is widely used in many industries such as finance, security, government affairs, etc., to promote the popularization and development of AI applications.

Location:
China
Language:
zh
Collection time:
2024-07-02
从容大模型Congrong LM

From the big model is a cloud from the independent research and development of the technology amultimodalBig Model, which aims to solve the pain points of AI applications and promote the rapid popularization of personalized applications through real-time learning and synchronized feedback results. The following is a detailed description of the Slave Big Model:

Background and history

  • Release time: The Submissive Large model was officially unveiled on May 18, 2023, followed by the public beta on May 30th.
  • version update: On August 21, 2023, CloudTech released version 1.5 of the Slave Big Model, which offers significant performance improvements.

Model Features and Functions

  1. multimodal capability
    • The slave macromodel contains macromodels from multiple domains such as linguistic macromodels, visual macromodels, speech macromodels, code generation macromodels, and image generation macromodels, and has cross-modal interaction capabilities.
  2. Real-time learning and feedback
    • By learning in real time and synchronizing the feedback results, from the large model can solve the pain points of many AI applications and improve the accuracy and efficiency of the applications.
  3. Contextual learning capacity
    • With contextual learning capability, it can be applied in many industry fields such as finance, security, government, transportation, energy, education, medical care, entertainment and so on with better interactive performance.
  4. High performance and generalizability
    • Version 1.5 contains a variety of model specifications of one billion, ten billion, and one hundred billion, and the measured performance is ranked No. 1 in ten billion and No. 4 in the total list in the global comprehensive examination evaluation (C-Eval) of large models, and the comprehensive strength is among the top 5 in the world.
    • In particular, the industry large model with 13 billion (13B) parameters outperforms ChatGPT and GPT-4 in specific scenarios.
  5. long context processing capability
    • The model context length (Context length) has realized 32K Tokens, which exceeds the level of 2K to 8K of most models in the world, and a Chinese character accounts for only 0.7 Tokens on average, with a supported context length of more than 45,000 words, which significantly improves the ability of the large model to be applied in practice.
  6. Rich application scenarios
    • It has been applied in many fields such as intelligent transportation, urban governance, gaming industry, e-commerce industry, etc., providing end-to-end big model solutions and helping customers realize intelligent transformation.

Application Cases

  1. intelligent transportation
    • Cloud from the science and technology joint Jia Du technology and other launch know the city traffic big model, based on from the big model of the city traffic industry knowledge for continuous training and self-learning, to improve the efficiency of traffic control work and business problem solving ability.
  2. urban governance
    • Through cross-modal human-computer interaction for one-language smart office, it provides real-time suggestions for citizens' travel needs, demonstrating the ability of big models to integrate across data and departments.
  3. gaming industry
    • Jointly researched LLM big model in game vertical field with YouGuard Network, optimized the application of general AI technology in game scenarios, and promoted game product innovation and user experience improvement.
  4. e-commerce industry
    • Launched "Barley" based on a large model of tolerancedigital personLive broadcast platform", providing live script writing, real-time interactive question answering and other functions to improve the efficiency of live broadcasting and user experience.

future development

Cloud from the technology will continue to increase investment in research and development, and constantly optimize from the big model, promote the integration of artificial intelligence and the real economy, deeply participate in the construction of digital China, and inject new kinetic energy for modern development.

To sum up, as an independent research and development achievement of CloudFromTech, from the big model, with its multi-modal ability, real-time learning and feedback, context learning ability, high performance and generalization, etc., it shows a wide range of application prospects and great development potential in many industry fields.

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