BLOOM(BigScience Large Open-science Open-access Multilingual Language Model; started byHugging Faceco-founder) Claude 2(Anthropic) Ernie Bot(Baidu) PaLM 2(Pathways Language Model, used with Google BARD) LLaMA(Meta) RoBERTa(A Robustly Optimized BERT Pretraining Approach, Google) ...
1. **Hugging Face和Kaggle简介(Brief Introduction to Hugging Face and Kaggle)**: - 介绍了Hugging Face平台,包括模型库和Transformers库。 - 介绍了Kaggle平台,包括其数据集和竞赛功能。 - 提供了关键点和进一步学习资源。 2. **RAG和向量数据库(RAG and Vector Databases)**: - 解释了向量数据库的工作原理。
在2023 年,大型语言模型(Large Language Models,简称 LLMs)受到了公众的广泛关注,许多人对这些模型的本质及其功能有了基本的了解。是否开源的议题同样引起了广泛的讨论。在 Hugging Face,我们对开源模型抱有极大热情。开源模型的优势在于,它们不仅促进了研究的可复制性,还鼓励社区参与到人工智能模型的开发中来,这样做...
ChatGPT, which runs on a set of language models from OpenAI, attracted more than 100 million users just two months after its release in 2022. Since then, many competing models have been released. Some belong to big companies such as Google, Amazon and Microsoft; others are open source. Con...
Transformers[135]是一个开源的Python库,用于使用Transformer架构构建模型,由Hugging Face开发和维护。它具有简单和用户友好的API,使得使用和定制各种预训练模型变得容易。它是一个功能强大的库,拥有庞大而活跃的用户和开发者社区,他们定期更新和改进模型和算法。
Finally, check whether your system has Git LFS installed so that you can load and push models/datasets to the Hugging Face Hub: git-lfs --version If it isn't installed, run: sudo apt-get install git-lfs Quick Start Training a tiny Llama model ...
三、OVERVIEW: LANGUAGE MODEL PROGRAMMING 0x1:Background: (Large) Language Models 1、Few-Shot Prompting Few-shot prompt 指的是语言模型不需要针对下游任务(例如分类、问题回答等)进行定制化地训练。 相反,使用广泛的文本序列预测数据集进行预训练,并在调用它们时以示例的形式提供上下文即可达到不错的效果。
除了GPT和BERT，还有许多其他的大语言模型，如Hugging Face的Transformers、FacebookAI的MT-NLT等。这些大...
LoRA(Low-Rank Adaptation of Large Language Models)-- 一种大模型prompt-tuning调优方法 一、Pre-train + Fine-tuning范式 0x1:为什么要微调 对于数据集本身很小(几千张图片/几千段文本)的情况,从头开始训练具有几千万参数的大型神经网络是不现实的,因为越大的模型对数据量的要求越大,过拟合无法避免。这时候...
Large Language Models (LLMs) are transforming the way we interact with technology. These models, developed by leading tech companies such as OpenAI, Replicate, Cohere, Hugging Face, and Anthropic, (to name a few), are pushing the boundaries of what’s possible in natural language processing. ...