importgeopandas as gpdimportmatplotlib.pyplot as plt # Load the world shapefileworld = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres')) # Merge the world shapefile with the GPI data on the iso3c fieldforthe year2022merged = world.set_index('iso_a3').join(gpi_data.set_index(...
contexts = [] answers = [] # loop through the questions, run query for each question for question in questions: response = query_engine.query(question) contexts.append([x.node.get_content() for x in response.source_nodes]) answers.appen...
GPT-4 architecture, datasets, costs and more leaked https://medium.com/@itsrajayush2001/gpt-4-details-leaked-cb49411b9bdf https://gist.github.com/ykk648/cf7bf2b64897c29cfb0c67003bbbbea3
Note that if you apply Bessel's correction and divide by the number of instances - 1 rather than by the number of instance you will obtain, for small datasets, slightly different results (e.g. variance=[[0. , 2. , 1.] in the example). Either solutions are acceptable. 来自iPhone客户...
“For most tasks we compare the per-token likelihood (to normalize for length), however on a small number of datasets (ARC, OpenBookQA, and RACE) we gain additional benefit as measured on the development set by normalizing by the unconditional probability of each completion ...”对于少数数据...
模型:https://huggingface.co/intfloat/e5-mistral-7b-instruct 数据：https://huggingface.co/datasets/andersonbcdefg/synthetic_retrieval_tasks 方法 合成数据生成 作者使用GPT-4集思广益产生一系列潜在的检索任务，然后为每个任务生成(查询,正例,困难反例)三元组，如下图所示。为了生成多样化的合成数据，作者提出了...
数据集地址:https://huggingface.co/datasets/griffin/chain_of_density 具体来说,他们将每个 token 的平均实体数量作为密度的代表,生成了一个初始的、实体稀少的摘要,然后在不增加总长度(总长度为 5 倍)的情况下,反复识别并融合前一个摘要中缺失的 1-3 个实体,每个摘要的实体与 token 比例都高于前一个摘要。
4、补齐图像生成安全性研究缺口：通过可检测性实证，发现图像中的上采样/超分伪影、色彩特征，推动AIGC取证技术演进。更多细节欢迎查阅原论文。论文地址：https://arxiv.org/pdf/2406.19435代码链接：https://github.com/PicoTrex/GPT-ImgEval数据集下载：https://huggingface.co/datasets/Yejy53/GPT-ImgEval ...
identifying AI generated content like Chat GPT, GPT 3, GPT 4, Gemini, LLaMa models … Finally, we employ a comprehensive deep learning methodology, trained on extensive text collections from the internet, educational datasets, and our proprietary synthetic AI datasets produced using various language ...