OC

Knowledge OS
鹦鹉螺口语
LLama

LLama 相关新闻

聚合该分类的最新新闻与更新。

小语言模型——对于企业人工智能来说更加有效和高效
2024-10-27 02:22:58
;,与 Llama 和 Mistral 等小型语言模型
2025-09-12 17:34:16
">Amazon Bedrock Custom Model Import to seamlessly integrate your customized models—such as Llama
AI医疗工具可淡化妇女的症状,少数民族的症状
2025-09-19 13:30:27
;对GPT-4,Llama和Gemini等通用模型进行了
2025-06-18 01:18:11
chatbot — OpenAI’s ChatGPT — is the most widely used, followed by Google’s Gemini and Meta’s Llama.
2025-05-29 16:25:11
multilingual representations in Gemma-2-2b and Llama-3.2-1b—see our demo
2025-02-22 04:47:13
network also used other AI models to develop their code, including a version of Meta's Llama. Meta
香港人工智能模型能够快速准确地识别眼睛状况
2024-12-22 01:00:16
>Ø Llama 2开源大语言模型,已被广
Meta是如何决定制造什么样的硬件
2024-10-11 13:37:57
="https://www.theverge.com/2024/9/25/24250234/meta-connect-rayban-glasses-orion-ai-llama">连接会议我们不仅讨
Meta 与 Orion 一起重新思考智能眼镜 - TechCrunch
2024-09-28 20:15:00
耳机、Metas Llama AI 模型更新以及 Ray-Ban Meta 智能眼镜的实时视频功能。不过,最大的亮点是 Orion,一款真正的 AR 眼镜原型,被誉为世界上最先进的眼镜。
Buzzy AI启动Multiverse创建了有史以来最小的两个高性能模型|TechCrunch
2025-08-14 15:00:00
://techcrunch.com/2025/04/05/meta-releases-llama-4-a-new-crop-of-flagship-ai-models/">美洲驼4
2025-04-28 19:31:21
/meta-unleashes-its-most-powerful-ai-model-llama-3-1-with-405b-parameters/">Llama are autoregressive
AMD ROCm 6.3 为 AI 爱好者和 HPC 专家提供了好东西
2024-11-27 02:30:33
>– Antares – 当以 FP8 精度运行 Llama 2 405B 时
AI代理商错误〜70%的时间:卡内基·梅隆(Carnegie Mellon)研究
2025-06-29 11:34:00
>Amazon-Nova-Pro-V1(1.7%) Llama-3.1-405b(7.4%)
2025-09-03 20:32:37
comparable to the 2024 Llama 3 model from Meta, according to SWI.The model was built to
2025-09-02 05:15:00
Content Abuse — LLMs like GPT-4, LLaMA, and Mistral can be manipulated to generate restricted
2025-08-31 10:47:00
previously led Meta’s Llama and generative AI efforts, has not been named to a leadership position on any
随着中国推动高级模型,元代源AI的元代码变更课程
2025-08-02 23:00:08
;母元平台是与Llama家族开源人工
2025-06-20 15:02:27
" data-type="internalLink" data-ordinal="1">pushing back the launch of its latest Llama 4 large
新系统扩展了用于机器学习的AI3基础架构
2025-04-10 16:18:07
;Llama和DeepSeek,这些模型需要大量的