Beijing Baichuan Intelligent Technology Co., Ltd. has recently announced the launch of its one-stop solution aimed at helping enterprises achieve private deployment of large models at a low cost and enhance efficiency. This solution includes high-quality general training data throughout the entire chain, two models named Baichuan4-Turbo and Baichuan4-Air, and a comprehensive domain enhancement toolchain, catering to the diverse needs of enterprises in various scenarios.
The Baichuan4-Turbo and Baichuan4-Air models, through hybrid tuning with proprietary enterprise data, have achieved a multi-scenario availability rate of up to 96%, a leading figure in the industry. Baichuan Intelligent Technology's solution significantly improves model performance by providing high-quality general training data that closely matches the original model data distribution, combined with algorithms such as hyperparameter dynamic search and adaptive ratio adjustment.
In terms of cost, the deployment cost of Baichuan4-Turbo and the inference cost of Baichuan4-Air are the lowest in their respective tiers in the industry. Baichuan4-Turbo has seen significant enhancements in core capabilities such as text generation, knowledge question answering, and multilingual processing, and can be deployed with just 2 cards of 4090 computing power, with an inference cost of only 15% of Baichuan4. Meanwhile, the inference cost of Baichuan4-Air is just 1% of Baichuan4, with the cost per million tokens at only 0.98 yuan, significantly reducing operational costs for enterprises.
Baichuan4-Air is Baichuan Intelligent Technology's first model to adopt the MoE (Mixture of Experts) architecture, which, with its PRI (Pyramid, Residual, Interval) structure, balances computational load and reduces computational volume while maintaining the internal structures of MLP and Attention, thereby enhancing inference speed.
Additionally, Baichuan Intelligent Technology's comprehensive domain enhancement toolchain is user-friendly, covering the entire process of model deployment, including tools for data crawling, cleaning, enhancement, model training, evaluation, compression, and deployment, aiding enterprises in customizing encrypted deployment and training of models according to their specific needs. The company has addressed compatibility issues with different hardware, enabling efficient adaptation to multiple mainstream chips.
The introduction of this solution marks a significant step forward for Baichuan Intelligent Technology in the field of large model applications, offering enterprises an efficient and low-cost choice for AI model deployment.
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