a subroutine, which reads enough source characters to produce one token, and returns it to the parser. Whenever the parser has scanned enoughsource codeto produce an atom, the atom is converted to object code by calling the code generator as a subroutine; this would be asingle pass compiler...
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So, for this article, we’re going to set some table stakes, based on several dictionaries and usage guides. This is, of course, by no means a comprehensive dictionary. It’s just a place to get started. Go here, here, or here for more info. Gender, for our purposes, refers to ...
Kotidgy— an index-based text data generator written in Kotlin Scala - Scala NLP Libraries | Back to Top Saul - Library for developing NLP systems, including built in modules like SRL, POS, etc. ATR4S - Toolkit with state-of-the-art automatic term recognition methods. tm - Implementation ...
Code Issues Pull requests Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network natural-language-processing deep-learning tensorflow language-modeling recurrent-neural-networks Updated Sep 25, 2017 Python Sunny...
一个Generator + Verifier 的典型工作是《Training Verifiers to Solve Math Word Problems》,作者来自OpenAI。随这篇论文一起发布的还有当前十分流行的数学题数据集 GSM8K,它包含了大约8000个小学数学问题。因为他们没有给自己的工作起名字,所以后面就简单用OpenAI来指代这项工作。在这项工作中,他们用标准的语言建模...
Get To The Point: Summarization with Pointer-Generator Networks, See et al, 2017 复制机制的大问题 他们复制太多 主要是长短语,有时甚至整个句子 一个原本应该是抽象的摘要系统,会崩溃为一个主要是抽取的系统 另一个问题 他们不善于整体内容的选择,特别是如果输入文档很长的情况下 没有选择内容的总体战...
The image size of 1024 × 1024 is fed as an input to the generator of stage I, along with word embeddings from the TBERT BASECASE language model. The model architecture of the two-stage Hybrid Super Resolution GAN network is described in Fig. 5. Figure 5 The architecture of Hybrid ...
⭐ FastSpeech - The Implementation of FastSpeech based on pytorch [GitHub, 857 stars] ⭐ TTS - a deep learning toolkit for Text-to-Speech [GitHub, 34356 stars] 🔱 NotebookLM - Google Gemini powered personal assistant / podcast generator Speech to Text ⭐ whisper - Robust Speech Recognit...
Crucially, both the generator and the retriever in this RAG setup are trained end-to-end, ensuring that they learn jointly and improve each other's performance. This methodology contrasts with previous approaches that required architectures with non-parametric memory to be built from scratch for spe...