据华尔街见闻报道，科技巨头Meta正准备在下周推出两款小型的Llama 3语言模型预览版，作为其夏季发布全面版Llama 3的前奏。这一消息得到了The Information引用的一位Meta内部员工的证实。Llama 3项目被定位为直接挑战OpenAI的热门大模型GPT-4，后者以其强大的多模态处理能力，能够处理更长的文本序列并接受图像输入，引起了业界广泛关注。
据了解，即将发布的两个小型Llama 3版本虽然不具备多模态处理功能，但它们的面世将为完整版Llama 3的登场奠定基础。正式版的Llama 3预计将引入革命性的多模态特性，能够同时理解和生成结合文本与图片的复杂信息，这无疑将提升其在人工智能领域的竞争力。
Meta的这一举措显示出其在人工智能领域的雄心，意图在与OpenAI的竞争中占据一席之地。小型预览版的发布将为开发者和业界提供一个早期试用和评估的机会，也为Meta收集反馈和优化模型提供了宝贵机会。随着Llama 3的逐步推进，人工智能在理解和创造多媒体内容方面的边界将进一步被拓宽。
英语如下：
News Title: “Meta Set to Preview Llama 3 Mini Models Next Week, Challenging OpenAI’s GPT-4 Dominance”
Keywords: Meta, Llama 3, Multimodal
News Content: According to Wall Street Heard, tech giant Meta is preparing to unveil two preview editions of its smaller Llama 3 language models next week, paving the way for the summer release of the full Llama 3. This information has been confirmed by an internal Meta employee, as cited by The Information. The Llama 3 project is positioned as a direct challenge to OpenAI’s popular large model, GPT-4, which has garnered significant attention for its powerful multimodal processing capabilities, allowing it to handle longer text sequences and accept image input.
It is understood that the upcoming smaller Llama 3 versions, while lacking multimodal processing, will lay the groundwork for the full-fledged Llama 3. The final version of Llama 3 is expected to introduce groundbreaking multimodal features, enabling it to comprehend and generate complex information that combines text and images, thereby enhancing its competitiveness in the AI arena.
Meta’s move demonstrates its ambition in the AI field, aiming to establish a foothold in the competition with OpenAI. The release of the preview editions will provide developers and the industry an early opportunity to try and evaluate the models, and also offer Meta a valuable chance to gather feedback and optimize the model. As Llama 3 progresses, the boundaries of AI’s ability to understand and create multimedia content will be further expanded.
【来源】https://wallstreetcn.com/articles/3712253
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