亚马逊和 NVIDIA 怎么样运用 AI 帮忙卖家创建更好的商品详情页
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">亚马逊<span style="color: black;">运用</span> NVIDIA TensorRT-LLM 和 GPU 将全新 AI 工具的推理速度<span style="color: black;">加强</span>一倍，<span style="color: black;">帮忙</span>卖家更快创建和优化商品详情页。</span></strong></span></p>
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<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">很难想象有哪个行业比在线零售业竞争更激烈、节奏更快。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">卖家<span style="color: black;">必须</span>创建富有吸引力且<span style="color: black;">饱含</span><span style="color: black;">海量</span>信息的商品详情页。这些<span style="color: black;">详细</span>介绍<span style="color: black;">必要</span>引人入胜、夺人眼球且深入人心。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">亚马逊正在亚马逊弹性计算云（Amazon EC2）上<span style="color: black;">运用</span> NVIDIA Tensor Core GPU 赋能一个生成式 AI 工具，从而在现代零售业发展中找到这种平衡。</span></strong></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">亚马逊全新的生成式 AI 功能<span style="color: black;">能够</span><span style="color: black;">帮忙</span>卖家无缝生成引人注目的标题、要点、描述和<span style="color: black;">制品</span>属性。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">起始</span>时，亚马逊会识别有待改进的商品详情页，并且利用生成式 AI 自动生成高质量的内容。<span style="color: black;">而后</span>卖家<span style="color: black;">能够</span><span style="color: black;">按照</span>自己的<span style="color: black;">必须</span>完善这些内容，<span style="color: black;">亦</span><span style="color: black;">能够</span>直接将自动生成的内容提交至亚马逊目录。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">这里</span>之前，卖家<span style="color: black;">必须</span>花费<span style="color: black;">海量</span>的时间和精力创建<span style="color: black;">仔细</span>的商品详情页，而<span style="color: black;">此刻</span>，这种简化的流程使<span style="color: black;">她们</span>有<span style="color: black;">更加多</span>的时间专注于其他的任务。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">NVIDIA TensorRT-LLM 软件现已在 GitHub 上线，用户<span style="color: black;">能够</span><span style="color: black;">经过</span>为生产级 AI <span style="color: black;">供给</span>企业级安全、支持和<span style="color: black;">靠谱</span>性的 NVIDIA AI Enterprise <span style="color: black;">拜访</span>该软件。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">TensorRT-LLM 开源软件使 AI 推理变得更快速、更智能。</span></strong>它可与大语言模型协同工作，<span style="color: black;">例如</span>亚马逊为<span style="color: black;">以上</span>功能构建的模型<span style="color: black;">便是</span>在<span style="color: black;">海量</span>文本上训练而成的。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">它还支持多 GPU 和多节点推理、动态批处理、分页关注以及<span style="color: black;">拥有</span> FP8 精度的 Hopper Transformer Engine，所有这些都能改善延迟和提<span style="color: black;">有效</span>率，为卖家带来更好的体验。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">经过</span><span style="color: black;">运用</span> TensorRT-LLM 和 NVIDIA GPU，亚马逊为卖家<span style="color: black;">供给</span>的生成式 AI 工具在成本和所需 GPU 方面的推理效率<span style="color: black;">加强</span>了 </span><strong style="color: blue;"><span style="color: black;">2</span></strong>倍，比<span style="color: black;">初期</span><span style="color: black;">无</span><span style="color: black;">运用</span> TensorRT-LLM 时相比则降低了<strong style="color: blue;"><span style="color: black;">3</span></strong> 倍的推理延迟。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">效率的<span style="color: black;">加强</span>使其更加环保，而降低了 3 倍的延迟则使亚马逊目录生成式 AI 功能的反应更<span style="color: black;">快速</span>。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">这些生成式 AI 的功能<span style="color: black;">能够</span>为卖家节省时间，让<span style="color: black;">她们</span>能够更<span style="color: black;">容易</span>地<span style="color: black;">供给</span>更丰富的信息。例如：</span></span></p><span style="color: black;"><span style="color: black;">能够</span>为无线鼠标创建一个内容丰富的详情页，其中信息<span style="color: black;">包括</span>人体工程学设计、电池寿命长、光标设置可调且兼容<span style="color: black;">各样</span>设备；</span><span style="color: black;">还<span style="color: black;">能够</span>生成<span style="color: black;">制品</span>属性，如颜色、尺寸、重量和材料。</span>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">这些细节<span style="color: black;">能够</span><span style="color: black;">帮忙</span>客户做出明智的决策并减少退货的<span style="color: black;">出现</span>。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">借助生成式 AI，亚马逊的卖家<span style="color: black;">能够</span>快速、<span style="color: black;">容易</span>地创建更具吸引力的商品详情页，<span style="color: black;">同期</span><span style="color: black;">加强</span>能效，<span style="color: black;">从而</span>接触到<span style="color: black;">更加多</span>客户，更快地发展业务。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">从今天起<span style="color: black;">起始</span><span style="color: black;">运用</span> TensorRT-LLM 并<span style="color: black;">经过</span> NVIDIA AI Enterprise <span style="color: black;">得到</span>企业级支持，请<span style="color: black;">拜访</span>：</span><span style="color: black;"><span style="color: black;"><span style="color: black;">https://developer.nvidia.com/blog/optimizing-inference-on-llms-with-tensorrt-llm-now-publicly-available/</span></span></span></p>
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