Baidu Intelligent Cloud Qianfan Platform First to Adapt Open Source Large Model Falcon-180B, Providing Full Process Tool Chain and Development Environment

BaiduIntelligent Cloud Chifan Platform recently announced that as an industry leader, it has successfully taken the lead in adapting the open source big model Falcon-180B and providing users with a complete full-process tool chain and development environment. This initiative will greatly facilitate enterprises and developers to experience and apply this latest big model capability more conveniently.

It is understood that the Baidu Intelligent Cloud Qianfan platform has already managed 42 domestic and international mainstream models, and has carried out a full range of performance enhancement, security enhancement, Chinese enhancement and contextual enhancement of third-party models. In terms of model security, content security and data security, the platform provides multiple safeguards. Meanwhile, the platform also provides a full set of tool chains throughout the life cycle of large models, including visualization tools, high-quality datasets and powerful arithmetic support.

It is worth mentioning that at the just-concluded 2023 Baidu Cloud Intelligence Conference, Baidu Intelligent CloudChifan Large ModelThe platform has realized a 2.0 comprehensive upgrade, showing its continuous innovation and progress. At present, the platform has attracted the use of nearly 10,000 enterprises, covering more than 400 scenarios in a variety of industries such as finance, manufacturing, energy, government affairs, transportation, etc., providing users with a full range of solutions and support.

By taking the lead in adapting the open-source large model Falcon-180B and providing a full-process tool chain and development environment, the Baidu Intelligent Cloud Qianfan Platform has once again demonstrated its strength and determination to lead the industry. In the future, the platform will continue to launch more innovative products and services to provide users with a more efficient and convenient big model application experience.

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