入门生成式语言模型(Generative Language Models) 发布于 2024-05-20 13:23:33 6400 文章被收录于专栏:857-Bigdata 1. 了解生成式语言模型的基本概念 了解生成式语言模型是一种能够生成文本或其他类型数据的模型,通常基于神经网络等技术,能够学习语言的结构和规律,从而生成类似人类写作风格的文本。
Models - Hugging Face Docs - Hugging Face OpenAI GPT2 官方的gpt2并不支持中文且是byte-level BPE分词方式;民间有人训练出的中文gpt2模型且分词采用的是BERT tokenizer的分词方式 import torch from transformers import GPT2LMHeadModel, GPT2Tokenizer, TextGenerationPipeline torch.manual_seed(37) torch.random...
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。 BIG-bench (Beyond ...
We find that almost all foundational language models and some instruction fine-tuned models exhibit clear ingroup-positive and outgroup-negative associations when prompted to complete sentences (e.g., "We are..."). Our findings suggest that modern language models exhibit fundamental social identity ...
Google Cloud Partners With Mistral AI on Generative Language Models More Reuters 3D printed clouds and figurines are seen in front of the Google Cloud service logo in this illustration taken February 8, 2022. REUTERS/Dado Ruvic//File Photo (Reuters) -Google Cloud and Mistral ...
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The emergence of publicly accessible artificial intelligence (AI) large language models such as ChatGPT has given rise to global conversations on the implications of AI capabilities. Emergent research on AI has challenged the assumption that creative pot
Quantization-Aware Training 是解决 LLM 部署的好办法。将现有 QAT 方法运用到如今最常见的 Decoder-only Generative Language Models 时,会造成很明显的性能损失。 作者认为造成这一现象的主要原因是以下两点: 相较于 Encoder 中每个 token 具有全局视野,自回归模型的每个 token 只受自己之前的 token 影响。这会导致...
Understand generative AI language models Completed 100 XP 5 minutes Understand Generative AI? Generative AI, or GenAI, is an artificial intelligence algorithm capable of learning from existing data and creating new, original content across various domains. These algorithms ...
The explicit goal of many, perhaps most, of the papers presented at this conference is to offer or to test models of L2 knowledge, development, processing, or use reflecting the aspirations of generative grammar more generally. The aims of this paper are (1) to reflect on the putative ...