京东 11.11 红包
十分钟看懂微软大力金刚掌WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack
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十分钟看懂谷歌铁布衫BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised ...
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[Long Review]Switch Transformers: Scaling to Trillion Parameter Models with
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三分钟搞定微软零样本语音合成VALL-E
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我愿称之为【NLP自然语言处理】天花板教程，NLTK/Spacy/可视化/文本分析/HMM隐马尔科夫模型/LSTM情感分析一次学透！！！
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十分钟告诉你为什么OpenAI的Whisper语音识别没ChatGPT那么好用 [语音语言论文阅读]
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三分钟搞定ChatGPT
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[Long Review] Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using
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解锁天顶星科技ChatGPT
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十分钟看懂谷歌金钟罩Transformer以及语音的LAS模型
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语音文本技术论文阅读 XLS-R: Self-supervised Cross-lingual Speech Representation Learning a
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[Long Review]Kullback-Leibler Divergence: Listen, Attend, Spell and Adapt ASR
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[Long Review] Fully Sharded Data Parallel: faster AI training with fewer GPUs
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语音文本技术论文阅读 RefineGAN - Universally Generating Waveform Better than Ground ...
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[Long Review] CLAS: Deep context: end-to-end contextual speech recognition
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【官方双语完整版】大型语言模型微调课程！| AI大神吴恩达联合Lamini的联合创人 | Finetuning Large Language Models
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十分钟看懂谷歌W2v-BERT: Combining Contrastive Learning and Masked Language Modeling
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详解OpenAI GPT-3: Language Models are Few-Shot Learners(2/3)
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读李·斯莫林《现有的物理理论都是近似，不会通往宇宙终极理论》
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[Long Review] Towards Zero-Label Language Learning
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详解OpenAI GPT-3: Language Models are Few-Shot Learners（1/3）
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语音文本技术论文阅读 Improving Speech Recognition Accuracy of Local POI Using Geographical
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语音文本技术论文阅读 Scaling Laws for Neural Language Models
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【B站第一】清华大佬1000分钟讲完的AI大模型（LLM）入门到实战全套学习教程！整整135集，全干货无废话！还学不会，我退出AI圈！！
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语音文本技术论文阅读 Branchformer: Parallel MLP-Attention Architectures and E-Branchformer
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[Short Review] Transfer Learning from Speaker Verification to Multispeaker TTS
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[Short Review] Fully Sharded Data Parallel: faster AI training with fewer GPUs
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语音文本技术论文阅读 RNN-T: Sequence Transduction with Recurrent Neural Networks
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[Short Review] Axial Attention in Multidimensional Transformers
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福奇博士小声嘟囔议员蠢货，结果忘记关麦克风 -- analysis from a research perspective
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[Short Review] Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using
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福建舰上面的雷达是如何工作的？和语音波束处理什么关系？
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[Short Review]Conformer Convolution-augmented Transformer for Speech Recognition
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[Long Review] GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
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[Long Review] Cascaded Diffusion Models for High Fidelity Image Generation
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十分钟看懂脸书太极拳法Wav2Vec2.0 -- 语音预训练模型就像绝命毒师老白教杰西
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详解AudioLM: a Language Modeling Approach to Audio Generation
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Boris Johnson约翰逊辞职演讲 - 附双麦克风使用分析
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【强推!】 这绝对是AI+医疗最好的【医疗机器学习】全套教程，不愧是MIT教授31小时全学会通关了！！！-人工智能|AI医疗|人工智能医疗
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从零入门！浙大教授全面精讲知识基础原理及项目实战，手把手教你构建自己的知识图谱！
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超全超简单！一口气学完CNN、RNN、GAN、GNN、DQN、Transformer、LSTM、DBN等八大深度学习神经网络算法！存下吧，真的比啃书快多了！！