摘要: ![](https://img2024.cnblogs.com/blog/3608529/202503/3608529-20250316191945761-2077417659.png) ![](https://img2024.cnblogs.com/blog/3608529/202503/3608529-20250316192122214-5705836.png) ![](https://img 阅读全文
posted @ 2025-03-16 19:24 耀小秀 阅读(7) 评论(0) 推荐(0)
摘要: ![](https://img2024.cnblogs.com/blog/3608529/202503/3608529-20250309200453014-398735185.png) ![](https://img2024.cnblogs.com/blog/3608529/202503/3608529-20250309200459533-1479426221.png) ![](https://i 阅读全文
posted @ 2025-03-09 20:06 耀小秀 阅读(27) 评论(0) 推荐(0)
摘要: ![](https://img2024.cnblogs.com/blog/3608529/202502/3608529-20250228000930877-368976471.png) ![](https://img2024.cnblogs.com/blog/3608529/202502/3608529-20250228000907075-162532174.png) 阅读全文
posted @ 2025-02-28 00:09 耀小秀 阅读(13) 评论(0) 推荐(0)
摘要: 大模型是一个泛称,指的是具有大规模参数和计算能力的机器学习模型。这些模型通常由深度神经网络构建而成,拥有数十亿甚至数千亿个参数。大模型的核心特征在于其拥有海量的参数,这使得它们能够处理更加复杂的任务和数据,具备强大的表达能力和学习能力。除了大规模的参数外,大模型还具备复杂的计算结构,以支持高效的训练 阅读全文
posted @ 2025-02-27 23:56 耀小秀 阅读(44) 评论(0) 推荐(0)
摘要: ![](https://img2024.cnblogs.com/blog/3608529/202502/3608529-20250227234506256-1936877503.png) ![](https://img2024.cnblogs.com/blog/3608529/202502/3608529-20250227234529558-817953639.png) ![](https://i 阅读全文
posted @ 2025-02-27 23:46 耀小秀 阅读(6) 评论(0) 推荐(0)
摘要: ![](https://img2024.cnblogs.com/blog/3608529/202502/3608529-20250224162149830-987178577.png) 阅读全文
posted @ 2025-02-24 16:22 耀小秀 阅读(9) 评论(0) 推荐(0)