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	https://github.com/sharpboy2008/NLP-Interview-Notes2#nlp-面无不过
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	https://github.com/sharpboy2008/NLP-Interview-Notes2#411-命名实体识别-常见面试篇
隐马尔科夫算法 HMM 常见面试篇	https://articles.zsxq.com/id_1q8xawb5rjwk.html
点击查看答案	https://articles.zsxq.com/id_1q8xawb5rjwk.html
最大熵马尔科夫模型 MEMM 常见面试篇	https://articles.zsxq.com/id_gcfcvw10h89u.html
点击查看答案	https://articles.zsxq.com/id_gcfcvw10h89u.html
条件随机场（CRF）常见面试篇	https://articles.zsxq.com/id_3votd06mbvxv.html
点击查看答案	https://articles.zsxq.com/id_3votd06mbvxv.html
DNN-CRF 常见面试篇	https://articles.zsxq.com/id_8u0rtbsjt64l.html
点击查看答案	https://articles.zsxq.com/id_8u0rtbsjt64l.html
中文领域 NER 常见面试篇	https://articles.zsxq.com/id_sgbknf1i6zer.html
点击查看答案	https://articles.zsxq.com/id_sgbknf1i6zer.html
命名实体识别 trick 常见面试篇	https://articles.zsxq.com/id_ik69rzw4ql5j.html
点击查看答案	https://articles.zsxq.com/id_ik69rzw4ql5j.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#412-关系抽取-常见面试篇
关系抽取常见面试篇	https://articles.zsxq.com/id_0uqcsdxwhg8c.html
点击查看答案	https://articles.zsxq.com/id_0uqcsdxwhg8c.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#413-事件抽取-常见面试篇
事件抽取常见面试篇	https://github.com/sharpboy2008/NLP-Interview-Notes2/blob/main/NLPinterview/EventExtraction
	https://github.com/sharpboy2008/NLP-Interview-Notes2#42-nlp-预训练算法-常见面试篇
【关于TF-idf】那些你不知道的事	https://articles.zsxq.com/id_8b6f6rux9dr0.html
点击查看答案	https://articles.zsxq.com/id_8b6f6rux9dr0.html
【关于word2vec】那些你不知道的事	https://articles.zsxq.com/id_2vpr5crbfbrp.html
点击查看答案	https://articles.zsxq.com/id_2vpr5crbfbrp.html
【关于FastText】那些你不知道的事	https://articles.zsxq.com/id_tw45wd5ae23q.html
点击查看答案	https://articles.zsxq.com/id_tw45wd5ae23q.html
【关于Elmo】那些你不知道的事	https://articles.zsxq.com/id_we1wwkpdrpfn.html
点击查看答案	https://articles.zsxq.com/id_we1wwkpdrpfn.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#43-bert-常见面试篇
Bert 常见面试篇	https://articles.zsxq.com/id_0ceqw3u9o2i5.html
点击查看答案	https://articles.zsxq.com/id_0ceqw3u9o2i5.html
【关于 Bert 源码解析I 之主体篇】那些你不知道的事	https://articles.zsxq.com/id_918gk4sl2l8b.html
【关于 Bert 源码解析II 之预训练篇】那些你不知道的事	https://articles.zsxq.com/id_m1pcu7g25bd6.html
【关于 Bert 源码解析III 之微调篇】那些你不知道的事	https://articles.zsxq.com/id_uxcwvhqvvbes.html
【关于 Bert 源码解析IV 之句向量生成篇】那些你不知道的事	https://articles.zsxq.com/id_1ccw29hl80o8.html
【关于 Bert 源码解析V 之文本相似度篇】那些你不知道的事	https://articles.zsxq.com/id_vauhnwe9m7aj.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#431-bert-模型压缩-常见面试篇
Bert 模型压缩常见面试篇	https://articles.zsxq.com/id_bknkkgtxj45f.html
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	https://github.com/sharpboy2008/NLP-Interview-Notes2#432-bert-模型系列-常见面试篇
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	https://github.com/sharpboy2008/NLP-Interview-Notes2#44-文本分类-常见面试篇
文本分类常见面试篇	https://articles.zsxq.com/id_24linkt6tidj.html
点击查看答案	https://articles.zsxq.com/id_24linkt6tidj.html
文本分类 trick 常见面试篇	https://articles.zsxq.com/id_jcs3manhpbd9.html
点击查看答案	https://articles.zsxq.com/id_jcs3manhpbd9.html
用检索的方式做文本分类常见面试篇	https://articles.zsxq.com/id_tln637w4a3sg.html
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点击查看答案	https://articles.zsxq.com/id_dfaagvc24cwa.html
语义相似度匹配任务中的 BERT 常见面试篇	https://articles.zsxq.com/id_slnosr1n8a0z.html
点击查看答案	https://articles.zsxq.com/id_slnosr1n8a0z.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#46-问答系统-常见面试篇
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	https://github.com/sharpboy2008/NLP-Interview-Notes2#461-faq-检索式问答系统-常见面试篇
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	https://github.com/sharpboy2008/NLP-Interview-Notes2#462-问答系统工具篇-常见面试篇
Faiss 常见面试篇	https://github.com/sharpboy2008/NLP-Interview-Notes2/blob/main/NLPinterview/QA/Faiss
	https://github.com/sharpboy2008/NLP-Interview-Notes2#47-对话系统-常见面试篇
对话系统常见面试篇	https://articles.zsxq.com/id_kz2t0faje3jw.html
点击查看答案	https://articles.zsxq.com/id_kz2t0faje3jw.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#48-知识图谱-常见面试篇
知识图谱常见面试篇	https://articles.zsxq.com/id_360j8cpd0shj.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#481-知识图谱-常见面试篇
点击查看答案	https://articles.zsxq.com/id_360j8cpd0shj.html
KBQA 常见面试篇	https://articles.zsxq.com/id_u6seb5h3pnof.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#482-kbqa-常见面试篇
点击查看答案	https://articles.zsxq.com/id_u6seb5h3pnof.html
Neo4j 常见面试篇	https://articles.zsxq.com/id_w6uxxvpj9fl0.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#483-neo4j-常见面试篇
点击查看答案	https://articles.zsxq.com/id_w6uxxvpj9fl0.html
文本摘要常见面试篇	https://articles.zsxq.com/id_8ndah4nf876w.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#49-文本摘要-常见面试篇
点击查看答案	https://articles.zsxq.com/id_8ndah4nf876w.html
文本纠错篇常见面试篇	https://articles.zsxq.com/id_2retvz8l0es7.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#410--文本纠错篇-常见面试篇
点击查看答案	https://articles.zsxq.com/id_2retvz8l0es7.html
文本摘要常见面试篇	https://articles.zsxq.com/id_8ndah4nf876w.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#411-文本摘要-常见面试篇
点击查看答案	https://articles.zsxq.com/id_8ndah4nf876w.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#412-文本生成-常见面试篇
生成模型的解码方法常见面试篇	https://articles.zsxq.com/id_m3wckj5bhgu8.html
点击查看答案	https://articles.zsxq.com/id_m3wckj5bhgu8.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#三深度学习算法篇-常见面试篇
CNN 常见面试篇	https://articles.zsxq.com/id_b3xp06wevahd.html
点击查看答案	https://articles.zsxq.com/id_b3xp06wevahd.html
RNN 常见面试篇	https://articles.zsxq.com/id_2et1rj7sn8c4.html
点击查看答案	https://articles.zsxq.com/id_2et1rj7sn8c4.html
Attention 常见面试篇	https://articles.zsxq.com/id_hs7zqva04b9g.html
点击查看答案	https://articles.zsxq.com/id_hs7zqva04b9g.html
生成对抗网络 GAN 常见面试篇	https://articles.zsxq.com/id_s5wm5safsqse.html
点击查看答案	https://articles.zsxq.com/id_s5wm5safsqse.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#31--transformer-常见面试篇
Transformer 常见面试篇	https://articles.zsxq.com/id_8nv1s9vsr2ow.html
点击查看答案	https://articles.zsxq.com/id_8nv1s9vsr2ow.html
【关于 Transformer 问题及改进】那些你不知道的事	https://github.com/sharpboy2008/NLP-Interview-Notes2/blob/main/DeepLearningAlgorithm/transformer/transformer_error.md
	https://github.com/sharpboy2008/NLP-Interview-Notes2#五nlp-技巧面
	https://github.com/sharpboy2008/NLP-Interview-Notes2#51-少样本问题面
数据增强（EDA）面试篇	https://articles.zsxq.com/id_e043c3q53sbc.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#511-数据增强eda-面试篇
点击查看答案	https://articles.zsxq.com/id_e043c3q53sbc.html
主动学习面试篇	https://articles.zsxq.com/id_6sj7him8b4p1.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#512-主动学习-面试篇
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数据增强之对抗训练面试篇	https://articles.zsxq.com/id_n5ugs6lig5td.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#513-数据增强-之-对抗训练-面试篇
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“脏数据”处理面试篇	https://articles.zsxq.com/id_o903pl26wtgu.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#52-脏数据处理--面试篇
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batch_size设置面试篇	https://articles.zsxq.com/id_64423hvlqv6w.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#53-batch_size设置-面试篇
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早停法 EarlyStopping 面试篇	https://articles.zsxq.com/id_u31j73pqq773.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#54-早停法-earlystopping-面试篇
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标签平滑法 LabelSmoothing 面试篇	https://articles.zsxq.com/id_87tkbsbcwk1d.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#55-标签平滑法-labelsmoothing-面试篇
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	https://github.com/sharpboy2008/NLP-Interview-Notes2#56-bert-trick-面试篇
Bert 未登录词处理面试篇	https://articles.zsxq.com/id_3gbrn1bn19am.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#561-bert-未登录词处理-面试篇
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BERT在输入层引入额外特征面试篇	https://articles.zsxq.com/id_gd208jzrpafg.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#562-bert在输入层引入额外特征-面试篇
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关于BERT 继续预训练面试篇	https://articles.zsxq.com/id_03lsi10e8iim.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#563-关于bert-继续预训练-面试篇
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BERT如何处理篇章级长文本面试篇	https://articles.zsxq.com/id_e5aaclwgbwue.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#564-bert如何处理篇章级长文本-面试篇
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	https://github.com/sharpboy2008/NLP-Interview-Notes2#六-prompt-tuning-面试篇
Prompt 面试篇	https://articles.zsxq.com/id_0dwe6olrn4uw.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#61-prompt-面试篇
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Prompt 文本生成面试篇	https://articles.zsxq.com/id_po1gopdolinx.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#62-prompt-文本生成-面试篇
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LoRA 面试篇	https://articles.zsxq.com/id_da8pumsjwbqw.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#63-lora-面试篇
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PEFT（State-of-the-art Parameter-Efficient Fine-Tuning）面试篇	https://articles.zsxq.com/id_2r4w85eov81e.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#64-peftstate-of-the-art-parameter-efficient-fine-tuning面试篇
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	https://github.com/sharpboy2008/NLP-Interview-Notes2#七llms-面试篇
【现在达模型LLM，微调方式有哪些？各有什么优缺点？	https://articles.zsxq.com/id_i6uv0mtg4mah.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#71-现在达模型llm微调方式有哪些各有什么优缺点
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GLM：ChatGLM的基座模型常见面试题	https://articles.zsxq.com/id_bwx8btw6h2p1.html
	https://github.com/sharpboy2008/NLP-Interview-Notes2#72--glmchatglm的基座模型-常见面试题
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	https://github.com/sharpboy2008/NLP-Interview-Notes2#一基础算法-常见面试篇
过拟合和欠拟合常见面试篇	https://articles.zsxq.com/id_0xjh0m6e44br.html
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BatchNorm vs LayerNorm 常见面试篇	https://articles.zsxq.com/id_wbep87ht600b.html
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激活函数常见面试篇	https://github.com/sharpboy2008/NLP-Interview-Notes2/blob/main/BasicAlgorithm/%E6%BF%80%E6%B4%BB%E5%87%BD%E6%95%B0.md
正则化常见面试篇	https://articles.zsxq.com/id_g6mir08c0s8d.html
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优化算法及函数常见面试篇	https://articles.zsxq.com/id_hqd9p17b6afk.html
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归一化常见面试篇	https://articles.zsxq.com/id_8iemf392t53n.html
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判别式（discriminative）模型 vs. 生成式(generative)模型常见面试篇	https://articles.zsxq.com/id_siv7mtg3573r.html
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	https://github.com/sharpboy2008/NLP-Interview-Notes2#二机器学习算法篇-常见面试篇
逻辑回归常见面试篇	https://articles.zsxq.com/id_98g8ef7zir1q.html
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支持向量机常见面试篇	https://articles.zsxq.com/id_nqeiewjxovjq.html
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集成学习常见面试篇	https://articles.zsxq.com/id_iqq9rzq9ctcd.html
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【关于 Python 】那些你不知道的事	https://github.com/sharpboy2008/NLP-Interview-Notes2/blob/main/python
	https://github.com/sharpboy2008/NLP-Interview-Notes2#九关于-python-那些你不知道的事
【关于 Python 】那些你不知道的事	https://github.com/sharpboy2008/NLP-Interview-Notes2/blob/main/python
【关于 Tensorflow 】那些你不知道的事	https://github.com/sharpboy2008/NLP-Interview-Notes2/blob/main/Tensorflow
	https://github.com/sharpboy2008/NLP-Interview-Notes2#十关于-tensorflow-那些你不知道的事
【关于 Tensorflow 损失函数】那些你不知道的事	https://github.com/sharpboy2008/NLP-Interview-Notes2/blob/main/Tensorflow/loss_study
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