Shulou(Shulou.com)11/24 Report--

Recently, Tencent Cloud was rated as a "strong performer" in the report "Forrester Wave ™: China's artificial Intelligence / Machine Learning platform in the fourth quarter of 2023". Tencent Cloud TI platform got the highest score in six standards, including training tools, training evaluation, reasoning goals, application tools, pricing flexibility and transparency, and roadmap. According to the Forrester report, Tencent Cloud aims to help customers build a low-cost and efficient AI model that meets business needs.

As a key part of the vision of new digital infrastructure, artificial intelligence has been deeply integrated into the enterprise's technology strategy and driven the process of digital business transformation. Many enterprises have taken the application of artificial intelligence as the top priority to improve production efficiency and accelerate business innovation. Fully aware of this opportunity and challenge, Tencent Cloud continues to innovate and practice in technologies such as AI models to meet the needs and urgent needs of customers' business development.

According to the Forrester report, Tencent Cloud's TI platform is closely integrated with artificial intelligence infrastructure and model as a service (MaaS) products on Tencent Cloud. As a core engine, it provides support for one-stop shops with selected basic models, helping Tencent's artificial intelligence business achieve more than 200% growth in 2022.

As an one-stop machine learning ecological service platform launched by Tencent Cloud, Tencent Cloud TI platform is committed to opening the full process link of AI landing and helping users to quickly create and deploy AI applications. It shows high technical strength and rich practical experience in model training tools, training model evaluation, reasoning goals and AI application tools, helping enterprises accelerate the development and deployment of AI applications, reduce costs and improve efficiency.

In terms of model training, Tencent Cloud TI platform has efficient training capability and flexible model architecture design, supports a variety of training frameworks and algorithms, and can be customized to meet the needs of users. In terms of model evaluation, the platform has comprehensive evaluation indicators and in-depth analysis capabilities, and can evaluate the performance, accuracy and stability of the model from multiple angles. In terms of reasoning goal setting, Tencent Cloud TI platform can help users quickly set reasoning goals and provide efficient reasoning solutions. Finally, the platform also provides a wealth of AI application tools, including visualization tools, model management tools, data processing tools and algorithm optimization tools, which can simplify the development process and improve the development efficiency of AI applications.

In addition, Tencent Cloud TI platform develops a variety of product applications to meet the specific needs of artificial intelligence practitioners through an extensive public product roadmap, including TI-ONE training platform for data scientists and algorithm engineers, TI-Matrix application platform for artificial intelligence developers, and TI-DataTruth data annotation platform for artificial intelligence data service providers. It provides artificial intelligence practitioners with more efficient and intelligent solutions to meet the challenges in practical work.

With the rapid development of AI technology and the continuous expansion of application scenarios, large models have become an important trend in the development of AI. In order to speed up the implementation of large models, Tencent Cloud launched an industry large model solution in June this year, relying on Tencent Cloud TI platform to build industry large model selection stores, providing enterprise customers with one-stop large model solutions covering model pre-training, model fine tuning, intelligent application development and so on. Currently, Tencent Cloud has provided more than 50 solutions for more than 20 industries, including Culture, Travel, Pan-Mutual, Energy and so on, to help customers build their own large models and intelligent applications.

While continuously delivering industry large model solutions for thousands of industries, Tencent Cloud has been actively participating in the construction of large model standards. In 2020, Tencent was elected as a member of the artificial Intelligence Sub-Committee and Deputy Secretary-General of the National Beacon Commission. As a core member, Tencent assumed more standard-setting work and technical leadership. At the 2023 Tencent Global Digital Ecology Conference, Tencent Cloud and ICT jointly released the "Research report on the Standard system and capability Architecture of Industry large models". The report includes industry demand analysis and resource assessment, industry data and model co-construction, industry fine tuning and optimal deployment and other key links. It can help industry partners gain insight into the dimensions of industry application scenario, model development, model capability, model application, model operation, security and credibility, so as to comprehensively evaluate the large model.

In the future, Tencent Cloud will continue to upgrade its products and technical capabilities, help Qianhang Baiye create and deploy more practical AI applications with higher efficiency, high quality and low cost, and help more entities achieve high-quality digital intelligence transformation and upgrading.

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