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。
Promptsub will help you create parametrized prompts for language models, when the set of parameters may change for each sample. It pursues two goals: Make it easy for developers to build template- and parameter-agnostic workflows. It means that at some point in your app you can combine a pr...
Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models. This fr...
在整个过程中,我们将观察性能的精确幂律缩放,这是训练时间、上下文长度、数据集大小、模型大小和计算预算的函数。 1.1 总结 我们对Transformer语言模型的主要发现如下: 图1 随着模型大小、数据集大小和训练所用计算量的增加,语言模型的性能也会稳步提高。为了达到最佳性能,这三个因素必须齐头并进。当不被其他两个因素...
2021). These efforts are based on the assumption that more parameters will lead to better performance. However, recent work from Hoffmann et al. (2022) shows that, for a given compute budget, the best performances are not achieved by the largest mod- els, but by smaller models trained on...
However, the librarydoesn't use neural networks for text preprocessing.So if you'd like to carry out more complex preprocessing tasks like POS tagging for your text corpora, it's better to use other NLP libraries and then return to scikit-learn for building your models. ...
Dr. Robert Kübler August 20, 2024 13 min read Hands-on Time Series Anomaly Detection using Autoencoders, with Python Data Science Here’s how to use Autoencoders to detect signals with anomalies in a few lines of… Piero Paialunga ...
language models, which can be used as all-purpose clinical predictive engines with low-resistance development and deployment. Our approach leverages recent advances in natural language processing4,5to train a large language model for medical language (NYUTron) and subsequently fine-tune it across a ...
Self-supervised neural language models with attention have recently been applied to biological sequence data, advancing structure, function and mutational effect prediction. Some protein language models, including MSA Transformer and AlphaFold’s EvoForm
Prompt Engineering for Large Language Models such as OpenAI – GPT is a rapidly evolving area of research and engineering practice. We have found thru trial and error that generating summaries of text using GPT can be enhanced using these guidelines: ...