Best AI tools for< 紋章家 >

笔灵AI写作 is a leading AI writing assistant in China, offering a versatile AI content creation tool that can generate work plans, marketing strategies, and more with a single click. It provides over 100 real case writing samples for free use. The platform also includes a help center and sections for user agreements, privacy policies, and child information protection. Users can become members to access additional features and services.

灵办AI is a free AI assistant for learning and office tasks. It provides users with various AI-powered features to enhance productivity and efficiency in both educational and professional settings. The tool offers a user-friendly interface and supports multiple languages, making it accessible to a diverse user base. With its advanced algorithms, 灵办AI aims to simplify complex tasks and streamline workflows, ultimately saving users time and effort.

This book aims to provide readers with a comprehensive understanding of large language model technology, including its basic principles, key technologies, and application prospects. Through in-depth research and practice, we can continuously explore and improve large language model technology, and contribute to the development of the field of artificial intelligence.

This repository is a collection of research lectures and experience sharing posts from frontline researchers in the field of AI. It aims to help individuals upgrade their research skills and knowledge through insightful talks and experiences shared by experts. The content covers various topics such as evaluating research papers, choosing research directions, research methodologies, and tips for writing high-quality scientific papers. The repository also includes discussions on academic career paths, research ethics, and the emotional aspects of research work. Overall, it serves as a valuable resource for individuals interested in advancing their research capabilities in the field of AI.

EasyAIVtuber is a tool designed to animate 2D waifus by providing features like automatic idle actions, speaking animations, head nodding, singing animations, and sleeping mode. It also offers API endpoints and a web UI for interaction. The tool requires dependencies like torch and pre-trained models for optimal performance. Users can easily test the tool using OBS and UnityCapture, with options to customize character input, output size, simplification level, webcam output, model selection, port configuration, sleep interval, and movement extension. The tool also provides an API using Flask for actions like speaking based on audio, rhythmic movements, singing based on music and voice, stopping current actions, and changing images.

PythonPark is a paradise for learning Python, providing babysitter-level tutorials on AI labs, treasure videos, data structures, study guides, machine learning practicals, deep learning practicals, Python basics, web scraping, big company interview experiences, programming life, and resource sharing. Original articles are published at least twice a week, with the latest articles being first released on WeChat and videos on Bilibili. Join the WeChat group for technical discussions or to provide feedback. Continuously improving and outputting content!

Midjourney Proxy is an open-source project that acts as a proxy for the Midjourney Discord channel, allowing API-based AI drawing calls for charitable purposes. It provides drawing API for free use, ensuring full functionality, security, and minimal memory usage. The project supports various commands and actions related to Imagine, Blend, Describe, and more. It also offers real-time progress tracking, Chinese prompt translation, sensitive word pre-detection, user-token connection via wss for error information retrieval, and various account configuration options. Additionally, it includes features like image zooming, seed value retrieval, account-specific speed mode settings, multiple account configurations, and more. The project aims to support mainstream drawing clients and API calls, with features like task hierarchy, Remix mode, image saving, and CDN acceleration, among others.

Awesome RoadMaps and Interviews is a comprehensive repository that aims to provide guidance for technical interviews and career development in the ITCS field. It covers a wide range of topics including interview strategies, technical knowledge, and practical insights gained from years of interviewing experience. The repository emphasizes the importance of combining theoretical knowledge with practical application, and encourages users to expand their interview preparation beyond just algorithms. It also offers resources for enhancing knowledge breadth, depth, and programming skills through curated roadmaps, mind maps, cheat sheets, and coding snippets. The content is structured to help individuals navigate various technical roles and technologies, fostering continuous learning and professional growth.

This repository provides a detailed tutorial on how to build your own large language model (LLM) from scratch. It includes all the code necessary to create a GPT-like LLM, covering the encoding, pre-training, and fine-tuning processes. The tutorial is written in a clear and concise style, with plenty of examples and illustrations to help you understand the concepts involved. It is suitable for developers and researchers with some programming experience who are interested in learning more about LLMs and how to build them.

This repository documents how to optimize common algorithms based on CUDA. It includes subdirectories with code implementations for specific optimizations. The optimizations cover topics such as compiling PyTorch from source, NVIDIA's reduce optimization, OneFlow's elementwise template, fast atomic add for half data types, upsample nearest2d optimization in OneFlow, optimized indexing in PyTorch, OneFlow's softmax kernel, linear attention optimization, and more. The repository also includes learning resources related to deep learning frameworks, compilers, and optimization techniques.

The 'meet-libai' project aims to promote and popularize the cultural heritage of the Chinese poet Li Bai by constructing a knowledge graph of Li Bai and training a professional AI intelligent body using large models. The project includes features such as data preprocessing, knowledge graph construction, question-answering system development, and visualization exploration of the graph structure. It also provides code implementations for large models and RAG retrieval enhancement.

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This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

The springboot-openai-chatgpt repository is an open-source project for a super AI brain that utilizes GPT technology to quickly generate language content such as copies, love letters, and questions. Users can input keywords to enhance work efficiency and creativity. The AI brain combines powerful question-answering systems and knowledge graphs to provide comprehensive and accurate answers. It supports programming tasks, generates code using GPT, and continuously strengthens its capabilities with growing data to provide superior intelligent applications.

AMchat is a large language model that integrates advanced math concepts, exercises, and solutions. The model is based on the InternLM2-Math-7B model and is specifically designed to answer advanced math problems. It provides a comprehensive dataset that combines Math and advanced math exercises and solutions. Users can download the model from ModelScope or OpenXLab, deploy it locally or using Docker, and even retrain it using XTuner for fine-tuning. The tool also supports LMDeploy for quantization, OpenCompass for evaluation, and various other features for model deployment and evaluation. The project contributors have provided detailed documentation and guides for users to utilize the tool effectively.

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发给GPT一篇markdown格式或者文本格式的文章，该GPT将帮助你提炼该文章并以30字作为总结摘要，同时将生成主题相关图。

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改写给定文章并与原文相似度低于0%~10%

专注于根据一系列综合标准对文章进行全面评价，包括内容的原理和评价指导。

对文章进行润色

改写文章的GPT

根据用户的模版生产完整文章

给定主题帮你写作技术类文章 1500字左右

请输入文章或者上载文件，专门于文档分析的阅读助手，会使用中文回复。

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分析各种文章风格的专家