MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现包括二次预训练、有监督微调、奖励建模、强化学习训练。🇨🇳中文 | 🌐English | 📖文档/Docs | 🤖模型/Models MedicalGPT: Training Medical GPT Model 📖 Introduction MedicalGPT training medical GPT model with ChatGPT training pipeline, implemantation of Pretraining, Supervised Finetuning, Reward Modeling and Reinforcement Learning. MedicalGPT 训练医疗大模型，实现包括二次预训练、有监督微调、奖励建模、强化学习训练。 分四阶段训练GPT模型，来自Andrej Karpathy的演讲PDF State of GPT，视频…
An algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video.Progressively Optimized Local Radiance Fields for Robust View Synthesis We present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges. First, most existing radiance field reconstruction approaches rely on accurate pre-estimated camera poses from Structure-from-Motion algorithms, which freq…
Modern Fullstack Reddit Clone in Next.js 13 & TypeScriptBreadit - A Modern Fullstack Reddit Clone Built with the Next.js App Router, TypeScript & Tailwind Features Infinite scrolling for dynamically loading posts Authentication using NextAuth & Google Custom feed for authenticated users Advanced caching using Upstash Redis Optimistic updates for a great user experience Modern data fetching using React-Query A beautiful and highly functional post editor Image uploads & link previews…
A large-scale 7B pretraining language model developed by BaiChuan-Inc. baichuan-7B 🤗 Hugging Face • 🤖 ModelScope • Wechat 中文 | English 介绍 baichuan-7B 是由百川智能开发的一个开源可商用的大规模预训练语言模型。基于 Transformer 结构，在大约1.2万亿 tokens 上训练的70亿参数模型，支持中英双语，上下文窗口长度为4096。在标准的中文和英文权威 benchmark（C-EVAL/MMLU）上均取得同尺寸最好的效果。 数据 原始数据包括开源的中英文数据和自行抓取的中文互联网数据，以及部分高质量知识性数据。 参考相关数据工作，频率和质量是数据处理环节重点考虑的两个维度。 我们基于启发式规则和质量模型打分，对原始数据集进行篇章和句子粒度的过滤。在…
view bereals without posting your own :)BeFake Site will not be hosted anymore since I got a Cease & Desist from BeReal for unauthorized access to their API. Code will still be kept public for educational purposes and to point out the security vulnerabilities in the BeReal API Features See friends' posts without posting anything yourself BeFake allows you to see your friends' posts without posting anything yourself. You can also screenshot their posts without them getting notified…
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc. Multimodal Advanced, Generative, and Intelligent Creation (MMagic [em'mædʒɪk]) OpenMMLab website HOT OpenMMLab platform TRY IT OUT …
Low-cost LS/FS/HS USB sniffer with Wireshark interfaceLow-cost USB Sniffer (LS/FS/HS) with Wireshark interface This sniffer can be used standalone from a command line or as a plugin for Wireshark with direct control from the UI. Either way, the capture is saved in a standard PcapNG format. Here are some example capture files: Mouse (Low-Speed) Virtual COM-Port Adapter (Full-Speed) USB Flash Drive (High-Speed) Note: You will need a recent version of Wireshark (v4.x.x). Older versions may not …
A validated automatic evaluator for instruction-following language models. High-quality, cheap, and fast. AlpacaEval : An Automatic Evaluator for Instruction-following Language Models Evaluation of instruction-following models (e.g., ChatGPT) typically requires human interactions. This is time-consuming, expensive, and hard to replicate. AlpacaEval in an LLM-based automatic evaluation that is fast, cheap, replicable, and validated against 20K human annotations. It is particularly useful for…
A curated list of awesome Swift MacrosSwift Macros 🚀 Swift Macros have brought in a new wave of possibilities. The aim of this project is to curate a list of community-created Macros and associated learning resources. A lot of use-cases my Sourcery covered before can now be implemented by Swift Macros. Learning Resources 📚 Tools Swift AST Explorer This is extremely helpful when working with SwiftSyntax, I used this when writing Sourcery parser and you can leverage it to build your own Macr…