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开源明星Mistral推出闭源大模型,挑战OpenAI

作者:未尽研究发布时间:2024-02-27

开源明星Mistral推出闭源大模型,挑战OpenAI

当明星般的开源大模型公司Mistral宣布发布了旗舰大模型 Large时,人们为它欢呼,以为是开源的又一次胜利。

结果发现它是一个闭源大模型,你不知道它有多少参数,只知道它自称具备一流的推理能力,在语言、数学、编程、知识等方面直逼GPT-4,超过了之前的老二Claude2。

当年OpenAI成立时,它号称要为了人类的利益,对抗谷歌的垄断,建立开放的人工智能,结果在推出GPT-3之后就封闭了。它说要在使命与商业利益之间做出平衡。

去年5月成立的法国AI初创公司Mistral,以开源为使命,去年底推出了开源模型Mistral 7B,Mistral 8X7B,风头盖过了Meta的Llama2。刚刚,它不仅发布了一个闭源模型,而且还接受了微软的投资,同样说要实现使命与商业利益之间的平衡。

商业、应用与政治,是开源独角兽Mistral推出闭源大模型的几重考虑。

目前最先进的闭源大模型,已经初步建立了商业模式,即token经济 (tokenomics)。OpenAI去年的年化收入达到了20亿美元,并且预计今年会达到40亿美元。它的估值在2023年翻了三倍,在最近完成的一轮融资中,达到了860亿美元。

另一家独角兽AI公司Ahthropic,拥有排名第二的闭源大模型Claude2,去年其收入也达到了年化近10亿美元,去年的几轮融资数额为近70亿美元,估值已经达到了184亿美元。

Mistral能挑战OpenAI吗?它号称要做到“在AI世界里资本效率最高”,目前估值为20亿欧元,相比GPT-4训练投入了上亿美元,Mistral Large只投入了2000万美元。它在商业上要对标OpenAI,但从投入和融资上并没有显示出挑战OpenAI的雄心。

(Mistral模型系列服务报价,来源:Mistral官网 )

它的商业模式类似于OpenAI面向开发者提供API有偿服务,基于token用量计价,目前输入百万token 8美元,输出百万token 24美元。上下文长度32K。目前只支持文本、转换、代码生成。

相比之下的GPT-4 Turbo, 128k上下文, 百万token输入10美元,输出30美元。

Mistral Large的原生函数调用和JSON 模式受到了称赞,RAG功能(检索增强生成)增强了它的准确性。但仍有不少疑惑,它的价格接近OpenAI,但它的差异性在何在?

GPT-4

、Mistral Large(预训练)、Claude 2、Gemini Pro 1.0、

GPT 3.5

和 LLaMA 2 70B 在 MMLU 上的比较(衡量大规模多任务语言理解)。

开源与闭源双管齐下,成为今年大模型领域的一个新趋势。最近谷歌在发布”最强“闭源大模型Gemini Ultra之后,发布了开源模型Gemma 2B 和7B,也是其加速推进AI的软硬件应用的战略举措。

而Mistral则是从开源杀入闭源。Mistral 7B 到MoE架构的Mistral 8X7B,继在多项测试指标超过了Llama 70B之后,现在开始挑战闭源大模型GPT-4和Claude 2了。

目前无论是在PC设备终端,还是推理引擎上,开源模型Llama2 和Mistral 7B都成为首选。而更多适配PC的7B模型,适配手机的2B或更小的模型,正在涌现。对于许多应用与模型公司来说,基于云的tokenonics无法成立的话,不妨向边缘走,向设备终端走。

第三个是政治考虑。Au Large不仅是Mistral的旗舰模型,是法兰西的旗舰模型,也是整个欧盟的旗舰模型。Mistral甚至代表欧盟大模型企业,影响到了人工智能法案 (AI ACT)的立法过程。在AI主权的趋势下,欧洲要建立起自己的大模型经济。这次微软的投资,只有1500万欧元,并且在云服务领域展开合作,并非外界夸张地以为微软又控制了一个大模型。微软将在西班牙和德国投资50亿美元,建立数据中心。不管怎么说,欧盟在自己的境内,建立起了用自己的数据训练自己的大模型的基础设施。它首先服务的语言是英语、法语、西班牙语、德语和意大利语。

市场上领先的

LLM

模型在广泛常识、推理和知识基准上的表现:MMLU(测量理解中的大规模多任务语言)、HellaSwag(10-shot)、Wino Grande(5-shot)、

Arc

Challenge(5 次)、Arc Challenge(25 次)、TriviaQA(5 次)和 TruthfulQA。

除了 Mistral Large 之外,Mistral还发布了一个较小版本的闭源模型Small,性能优于 Mixtral 8x7B,并且延迟较低,为用户在开源产品与Large之间提供了选择。

这家位于巴黎的公司2023年5月才成立,团队由谷歌Deepmind 和Meta 前员工组成,最初6人团队以7页PPT融到了8亿元(人民币),成为一段传奇。

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rgba(250, 157, 59, .6);--weui-TAG-BACKGROUND-ORANGE: rgba(250, 157, 59, .1);--weui-TAG-TEXT-GREEN: rgba(6, 174, 86, .6);--weui-TAG-BACKGROUND-GREEN: rgba(6, 174, 86, .1);--weui-TAG-TEXT-BLUE: rgba(16, 174, 255, .6);--weui-TAG-BACKGROUND-BLUE: rgba(16, 174, 255, .1);--weui-TAG-TEXT-BLACK: rgba(255, 255, 255, .5);--weui-TAG-BACKGROUND-BLACK: rgba(255, 255, 255, .05)}}@media screen and (min-width:1024px) and (prefers-color-scheme:dark){body:not(.pages_skin_pc) .wx-root:not([data-weui-theme=light]),body:not(.pages_skin_pc) body:not([data-weui-theme=light]){--weui-BG-0: #111;--weui-BG-1: #1e1e1e;--weui-BG-2: #191919;--weui-BG-3: #202020;--weui-BG-4: #404040;--weui-BG-5: #2c2c2c;--weui-FG-0: rgba(255, 255, 255, .8);--weui-FG-HALF: rgba(255, 255, 255, .6);--weui-FG-1: rgba(255, 255, 255, .5);--weui-FG-2: rgba(255, 255, 255, .3);--weui-FG-3: rgba(255, 255, 255, .1);--weui-FG-4: rgba(255, 255, 255, .15);--weui-FG-5: rgba(255, 255, 255, .1);--weui-RED: #fa5151;--weui-ORANGERED: 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