Why AI language models choke on too much text
Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single ...
GitHub14 天
Security: mosjel/RNN-SimpleRNN-GRU-LSTM-Transformers-TimeSeries
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GitHub21 天
NLP三大特征抽取器（CNN-RNN-TF）.md
摘自文章：自然语言处理三大特征抽取器 结论：RNN已经基本完成它的历史使命，将来会逐步退出历史舞台；CNN如果改造得当，将来还是有希望有自己在NLP领域的一席之地；而Transformer明显会很快成为NLP里担当大任的最主流的特征抽取器。 NLP任务的特点：输入是个 ...
Meet Transformers: The Google Breakthrough that Rewrote AI's Roadmap
You may not know that it was a 2017 Google research paper that kickstarted modern generative AI by introducing the ...
Sapient’s RNN AI model aims to surpass ChatGPT and Gemini: Here’s how
This new design integrates transformer components with recurrent neural network (RNN) structures, emulating human cognitive ...
Fiverr26 天
I will fine tune nlp, transformer, bert, gpt and other hugging face model
Professional machine learning and deep learning Engineer with 3 years of experience In machine learning, NLP & Computer vision, I can work on projects of ML regression, Classification, Clustering, ima ...
LN和BN的爱恨纠葛！为什么Transformer要用LayerNorm？ 精华
最后，我们得聊聊LN和Transformer之间的默契配合。LayerNorm和Transformer就像是一对默契的搭档，它们一起在NLP的世界里大展拳脚。LN的独立性和灵活性与Transformer的自注意力机制相得益彰，使得模型能够更好地处理序 ...
腾讯网8 天
AI SoC 入门：从Transformer大模型到端到端自动驾驶算法
最早取得的重大进展的是 神经网络 。1943年，数学家 沃伦·麦卡洛克 受到人脑神经元功能的启发，首次提出“神经网络”这一概念。神经网络甚至比“人工智能”这个术语早了大约12年。每一层的神经元网络都以特定的方式组织，其中 ...