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您的当前位置：首页 > 行业数据 > 表3.Llama-13B与GPT-3数据对比
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表3.Llama-13B与GPT-3数据对比_第1页
fCDmqKHlnosgICAgICAgfCDlj4LmlbDop4TmqKEgfCDorq3nu4PmlbDmja7op4TmqKEgICAgICAgICAgICAgICAgICAgICAgIHwKfC0tLS0tLS0tLS0tLXwtLS0tLS0tLS0tfC0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLXwKfCBHUFQtMyAgICAgIHwgMTc1QiAgICAgfCA1NzBHQiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIHwKfCBMbGFtYS0xM0IgIHwgMTNCICAgICAgfCA0LjdUQitCUEXliIbor40oMVQgdG9rZW5zKSAgICAgICAgICAgfAoK6LWE5paZ5p2l5rqQ77ya44CKTExhTUE6IE9wZW4gYW5kIEVmZmljaWVudCBGb3VuZGF0aW9uIExhbmd1YWdlIE1vZGVsc+OAiyhNZXRhIEFJKe+8jOi0oumAmuivgeWIuOeglOeptuaJgA==
表3.Llama-13B与GPT-3数据对比_第2页
表3.Llama-13B与GPT-3数据对比_第3页
表3.Llama-13B与GPT-3数据对比_第4页
表3.Llama-13B与GPT-3数据对比_第5页
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
所属报告： 汇洲智能-公司研究报告-卡位大模型的数据预训练新秀-231226（24页）.pdf
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