https://terms-en.ai-term-hub.com/zh/tags/foundation-models/Recent content in Foundation Models on 中文AI术语词典Hugozh-cnSat, 18 Jul 2026 11:44:45 +0000https://terms-en.ai-term-hub.com/zh/terms/self_supervised_learning/Sat, 18 Jul 2026 11:01:52 +0000https://terms-en.ai-term-hub.com/zh/terms/self_supervised_learning/<h2 id="definition">Definition</h2> <p>自监督学习是一种技术，算法从无标签数据本身创建监督信号，通常通过预测输入的缺失部分来实现。它弥合了无监督学习和&hellip;</p> <h3 id="summary">Summary</h3> <p>一种训练方法，模型从输入数据中生成自己的标签以学习表示。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>预训练</li> <li>掩码语言建模</li> <li>对比学习</li> <li>表示学习</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>训练大型语言模型</li> <li>图像表示学习</li> <li>语音识别系统</li> </ul> <h2 id="code-example">Code Example</h2> <div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-python" data-lang="python"><span style="display:flex;"><span>null </span></span></code></pre></div><h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/pre_training-%E9%A2%84%E8%AE%AD%E7%BB%83/">pre_training (预训练)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/unsupervised_learning-%E6%97%A0%E7%9B%91%E7%9D%A3%E5%AD%A6%E4%B9%A0/">unsupervised_learning (无监督学习)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/transformer-transformer/">transformer (Transformer)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/contrastive_loss-%E5%AF%B9%E6%AF%94%E6%8D%9F%E5%A4%B1/">contrastive_loss (对比损失)</a></li> </ul>https://terms-en.ai-term-hub.com/zh/terms/llm/Sat, 18 Jul 2026 10:52:16 +0000https://terms-en.ai-term-hub.com/zh/terms/llm/<h2 id="definition">Definition</h2> <p>大语言模型（LLM）是基于Transformer架构的高级人工智能系统，在包含大量文本和代码的数据集上进行训练。它们学习语言中的统计模式，</p> <h3 id="summary">Summary</h3> <p>一种在海量文本语料库上训练的深度学习模型，用于理解和生成类人语言。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>Transformer架构</li> <li>词元预测</li> <li>预训练</li> <li>缩放定律</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>聊天机器人和虚拟助手</li> <li>内容生成</li> <li>代码补全</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/gpt-%E7%94%9F%E6%88%90%E5%BC%8F%E9%A2%84%E8%AE%AD%E7%BB%83transformer/">GPT (生成式预训练Transformer)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/bert-%E5%9F%BA%E4%BA%8Etransformer%E7%9A%84%E5%8F%8C%E5%90%91%E7%BC%96%E7%A0%81%E5%99%A8%E8%A1%A8%E7%A4%BA/">BERT (基于Transformer的双向编码器表示)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86-nlp/">自然语言处理 (NLP)</a></li> </ul>