CLUEbenchmark/SuperCLUE: SuperCLUE: 中文通用大模型综合性基准 | A Benchmark for Foundation Models in Chinese (github.com)SuperCLUE是一个综合性大模型评测基准,本次评测主要聚焦于大模型的四个能力象限,包括语言理解与生成、专业技能与知识、Agent智能体和安全性,进而细化为12项基础能力。
which guides language models along a single path. In a CoT diagram, each sentence is a direct ...
32.[11] Child, R., 2020. Very deep vaes generalize autoregressive models and can outperform the...
This dissertation proposal presents our state-the-art probabilistic bases and DL algorithms for generative models, including VAEs, GANs, and RNN-based encoder-decoder. The proposal also discusses application areas that may benefit from deep generative models in both NLP and computer vision.In NLP, ...
入门生成式语言模型(Generative Language Models) 简介:入门生成式语言模型涉及理解基本概念、学习NLP基础知识、掌握相关工具和框架、训练与评估模型、实践项目和案例,以及持续学习。关键步骤包括预训练、微调(如SFT、LoRA、Prefix Tuning)、模型选择(如LLaMA、ChatGLM、Bloom等)和优化部署(量化、剪枝)。训练策略包括Pre...
RNNs are at the heart of many audio AI models, such as music-generating apps; think of music’s sequential nature and time-based dependencies. But they’re also good at natural language processing (NLP). RNNs also are used in traditional AI functions, such as speech recognition, ...
Generative AI Lab is the way to new types of NLP models in healthcare and others. No-Code NLP model tuning, fine-tuning, validation. Solution for Enterprises
一、Transformer模型 2017年,Google在论文 Attention is All you need 中提出了 Transformer 模型,其使用 Self-Attention 结构取代了在 NLP 任务中常用的 RNN 网络结构。相比 RNN 网络结构,其最大的优点是可以并行计算。
P. and Nichol, A., 2021. Diffusion models beat gans on image synthesis. Advances in Neural Inf...
这种方法的成功应用为解决NLP中的监督学习依赖问题提供了有希望的途径。 二、相关工作 NLP中的半监督学习:我们的工作广泛地属于自然语言处理的半监督学习范畴。这一范式引起了极大的兴趣,被应用于诸如序列标注(Jiao等,2006; Liang,2005;Suzuki 和 Isozaki,2008)或文本分类(Nigam,2006;Zhu,2005)等任务。最早的方法...