据Metaverse Post报道，近日，Hugging Face CEO 预测，到2024年，随着企业对效率、成本效益和可用性的不断追求，较小规模的AI模型将会有很大的发展。
对此，Hugging Face联合创始人兼CEO Clam Delangue在领英上发布了一篇帖子，他指出，“由微软AI团队推出的Phi-2现在已经成为Hugging Face平台上最受欢迎的模型，这预示着小型AI模型将在2024年迎来大爆发。”
这一预测得到了业界的广泛关注和支持。业内人士认为，随着技术的进步和数据的积累，AI模型的训练和优化已经取得了显著的进步。而小规模的AI模型由于其简单的结构和高效的运行方式，将成为未来发展的主流方向之一。
值得一提的是，小规模的AI模型并不意味着性能上的妥协。相反，它们往往能够提供更高的可解释性和更好的泛化能力，这对于许多应用场景来说是非常重要的。
总的来说，随着2024年的到来，我们可以期待看到更多创新的小规模AI模型出现，并为各行各业带来更多的便利和可能性。
英语如下：
News Title: “In 2024, Small AI Models May Lead the Trend!”
Keywords: Artificial Intelligence, Language Model, 2024
News Content: According to Metaverse Post, recently, the CEO of Hugging Face predicted that by 2024, with companies constantly pursuing efficiency, cost-effectiveness, and availability, smaller AI models will have significant development.
In response to this prediction, Clam Delangue, co-founder and CEO of Hugging Face, published a post on LinkedIn, stating that “the Phi-2 model launched by Microsoft’s AI team has now become the most popular model on the Hugging Face platform, indicating that small AI models will experience a major breakthrough in 2024.”
This prediction has attracted widespread attention and support from the industry. Industry insiders believe that with the progress of technology and the accumulation of data, there has been significant progress in the training and optimization of AI models. And due to their simple structure and efficient operating method, small-scale AI models will become one of the mainstream directions for future development.
It is worth noting that small-scale AI models do not mean compromise in performance. On the contrary, they can often provide higher explainability and better generalization ability, which is very important for many application scenarios.
Overall, as 2024 approaches, we can expect more innovative small-scale AI models to emerge, bringing more convenience and possibilities to various industries.
【来源】https://mpost.io/hugging-face-ceo-predicts-smaller-ai-models-will-dominate-2024/
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