TinyBERT搜索
<section style="padding: 0.5em;line-height: 18px;font-size: 14px;letter-spacing: 0px;font-family: Consolas, Inconsolata, Courier, monospace;border-radius: 0px;color: rgb(51, 51, 51);background: rgb(248, 248, 248);margin-left: 8px;margin-right: 8px;overflow-wrap: normal !important;word-break: normal !important;overflow: auto !important;display: -webkit-box !important;">{ <br />“ attention_probs_dropout_prob”：<span style="font-size: inherit;line-height: inherit;color: rgb(0, 128, 128);overflow-wrap: inherit !important;word-break: inherit !important;">0.1</span>，<br />“单元格”：{}，<br /><strong> “ emb_size”：</strong><strong><span style="font-size: inherit;line-height: inherit;color: rgb(0, 128, 128);overflow-wrap: inherit !important;word-break: inherit !important;">312</span>，</strong><br /> “ hidden_act”：“ gelu”，<br />“ hidden_dropout_prob”：<span style="font-size: inherit;line-height: inherit;color: rgb(0, 128, 128);overflow-wrap: inherit !important;word-break: inherit !important;">0.1</span>，<br />“ hidden_size”：<span style="font-size: inherit;line-height: inherit;color: rgb(0, 128, 128);overflow-wrap: inherit !important;word-break: inherit !important;">312</span>，<br />“ initializer_range”：<span style="font-size: inherit;line-height: inherit;color: rgb(0, 128, 128);overflow-wrap: inherit !important;word-break: inherit !important;">0.02</span>，<br /><strong>“ intermediate_size”：</strong><strong> <span style="font-size: inherit;line-height: inherit;color: rgb(0, 128, 128);overflow-wrap: inherit !important;word-break: inherit !important;">1200</span>，</strong><br /> “ max_position_embeddings”：<span style="font-size: inherit;line-height: inherit;color: rgb(0, 128, 128);overflow-wrap: inherit !important;word-break: inherit !important;">512</span>，<br />“ num_attention_heads”：<span style="font-size: inherit;line-height: inherit;color: rgb(0, 128, 128);overflow-wrap: inherit !important;word-break: inherit !important;">12</span>，<br /><strong>“ num_hidden_layers”：</strong><strong><span style="font-size: inherit;line-height: inherit;color: rgb(0, 128, 128);overflow-wrap: inherit !important;word-break: inherit !important;">4</span>，</strong><br /> “ pre_trained”：“”，<br />“ structure”：[]，<br />“ type_vocab_size”：<span style="font-size: inherit;line-height: inherit;color: rgb(0, 128, 128);overflow-wrap: inherit !important;word-break: inherit !important;">2</span>，<br />“ vocab_size”：<span style="font-size: inherit;line-height: inherit;color: rgb(0, 128, 128);overflow-wrap: inherit !important;word-break: inherit !important;">30522</span> <br />}<br /></section>
谷歌：用BERT做搜索
对于比较长、会话性比较强的查询，或者在“for”、“to”这样的介词比较重要的语句中，使用了BERT的搜索引擎能够更好地理解查询中单词的上下文。
TinyBERT
传送门
https://towardsdatascience.com/tinybert-for-search-10x-faster-and-20x-smaller-than-bert-74cd1b6b5aec
https://arxiv.org/abs/1909.10351
https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/TinyBERT
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