NeoXam is established in February by Serge Delpla, Founder and CEO, and PE BlackFin CP. NeoXam acquires successively GP3 & Decalog from SunGard and Density Tech. A leader in Financial software solutions in continental Europe with significant footprints in Asia and USA.

We find that GPT-NeoX-20B is a particularly powerful few-shot reasoner and gains far more in performance when evaluated five-shot than similarly sized GPT-3 and FairSeq models. We open-source the training and evaluation code, as well as the model weights, at https://github.com/EleutherAI/gpt-neox.

Portfolio Management System offering a full range of solutions, seamlessly handling Front & Middle-Office operations. It efficiently manages order, NAV control, compliance, risk analysis, …

2021年5月12日 · NeoXam GP3 is a real-time solution handling simultaneously multiple tax and accounting methodologies based on MBOR, multi-share classes, master/feeder, umbrella, multi-manager, and multi-fund structures. NeoXam GP3 also has a fully integrated general ledger and provides a smart IBOR.

NeoXam was created in 2014 following the carve out of two software programs, GP3 and Decalog, from SunGard, realized by BlackFin and the management. In 2015, NeoXam acquired Smartco to reinforce its data management offering. Headquartered in France, NeoXam has a strong presence in Continental Europe, China, South Africa, and in the US.

2024年12月16日 · GPT-NeoX-20B是由EleutherAI开发的一个200亿参数的自回归语言模型，基于GPT-NeoX库进行训练。 该模型的架构与GPT-3相似，且与GPT-J-6B几乎相同。 GPT-NeoX-20B的训练数据集为 The Pile ，这是一个包含多种英语文本的825GB数据集，涵盖了学术写作、互联网文本、小说、对话等 ...

网易的自研引擎NeoX怎么样？ 和主流的Unity3D或虚幻相比有什么优势？ 希望从以下几个角度进行比较： 渲染引擎代码质量编辑器可拓展性AI引擎物理引擎Profiler和Debugger跨平台网络模块 显示全部

GPT-NeoX 是一个用于在 GPU 上训练大规模语言模型的库，由 EleutherAI 开发。 这个项目的目标是提供一个集中的、易于访问的平台，以收集和优化自回归语言模型的训练技术，加速大规模训练的研究。

Neoxam GP4, the Investment Accounting Solution, is a highly scalable, multi-business, multi-tenant, multi-regulation, multi-accounting standards consolidated in one place (IFRS, Local …

GPT-NeoX-20B is a 20 billion parameter autoregressive language model trained on the Pile using the GPT-NeoX library. Its architecture intentionally resembles that of GPT-3, and is almost identical to that of GPT-J- 6B. Its training dataset contains a multitude of English-language texts, reflecting the general-purpose nature of this model.