AI Knowledge Base

Total 1183 articles posts
Trea 结合 Obsidian 变身写作利器:本地知识库升级为 AI 写作助手

Trea combines with Obsidian to become a writing tool: local knowledge base upgraded to an AI writing assistant

This is a reprinted article, according to the previously written: "Using intelligent programming tools Trae to create an all-purpose writing platform", the next episode will be about how to use Trae to empower the local knowledge base, by the server crash restrained for two days, happened to read this article on the borrowed flowers, as the original article's sister...
6mos ago
01.5K
近期网站频繁崩溃,刚恢复,写个Wordpress利用免费云盘自动备份脚本

Recent frequent site crashes, just recovered, write a Wordpress using free cloud disk automatic backup scripts

A server crash resulting in loss of website data is nothing short of a disaster! If you are just a small website, can't afford to buy multiple backup servers and won't configure website backup, I hope it will be helpful for those who are facing the same problem. Applicable to Linux servers , to ensure the safety of website data , even if the server is damaged can be restored ...
6mos ago
01.1K
5分钟讲清楚deepseek本地化部署

5 Minutes on deepseek Localization Deployment

Step 1: Install the "magic tool" Ollama 🚀 (Windows computers look here!) What is Ollama? 🤔 Again, Ollama is a "magic toolbox" that makes it easy for you to run all kinds of awesome AI models, like the one we're using today...
6mos ago
01.2K
360的满血版DeepSeek-R1有pc版本吗

Is there a pc version of the 360's full-blooded DeepSeek-R1?

Yes, 360's "Nano AI Search" does have a PC version, and you can use DeepSeek-R1 full-blooded version for free! 1. The official PC client is now online According to the official release of 360, the "Nano AI" Windows desktop version of the client released on February 11, 2025,...
6mos ago
01.1K
360的 DeepSeek-R1 与 DeepSeek 官网原版的区别

Differences between the 360's DeepSeek-R1 and the original DeepSeek official version

360 DeepSeek and the original version of the difference Here from the functional positioning, the actual performance, technical differences between the three perspectives to help you clear the difference, after reading you will know how to choose 👇 First, the functional positioning is different The original version of DeepSeek: divided into two "brain" to work V3 model (default): like ...
6mos ago
01.7K
如何掌握超全的deepseek高效使用技巧?

How to master the superb deepseek tips for efficient use?

The core of the problem is not deepseek, there is no difference between deepseek and other big model usage techniques, you can learn a lot of usage techniques in AI commands, and regarding deepseek-specific techniques, you need to know that DeepSeek-r1 belongs to the inference model...
6mos ago
01.3K
deepseek出现对实体店可能产生的影响?

How might the emergence of deepseek affect brick-and-mortar stores?

I. Impact and Challenge: Reconfiguration of Brick-and-Mortar Customer Traffic and Price System Basic Consulting Substitution and Price Transparency DeepSeek may accelerate the loss of low-value customer traffic in brick-and-mortar stores by lowering the threshold for consumers to access professional information. For example, in the pharmaceutical retail sector, consumers can use AI assistants to quickly obtain...
6mos ago
01.3K
搭建RAG应用,Embedding模型如何选?

How to choose Embedding model for building RAG application?

When building a RAG system, choosing the right Embedding model is a crucial step, here are my key factors and suggestions to consider when choosing an Embedding model for your reference: Clarify the application scenarios First of all, it is necessary to clarify the specific application scenarios of the RAG system and...
6mos ago
01.2K
ChatGPT 图片识别准确率如何?

How accurate is ChatGPT image recognition?

ChatGPT's image recognition capabilities, powered by OpenAI's gpt-4o, gpt-4o-mini, and gpt-4-turbo models, perform well in many scenarios, but accuracy is not absolute. Here are the key points that affect its performance: ...
6mos ago
01.6K
用提示词快速总结一本书

Quickly summarize a book with cue words

Prompts Why: Purpose: Interpret the core content of a book How: Methods: 1. Basic analysis: core ideas, book overview, key quotes 2. Advanced analysis: reading notes, mind maps, book FAQ 3. Suggested additions: action suggestions & cognitive...
5mos ago
0878
Dify 助您轻松打造多轮思考的AI助手:常见问题解答

Dify helps you easily build an AI assistant with multiple rounds of thinking: FAQs

Introduction In the wave of AI application development, the ability to think in multiple rounds is becoming the key to building smarter, more interactive applications.Dify, an open source generative AI application development platform, enables developers to incorporate multi-round thinking AI into real-world applications with unprecedented speed and ease...
6mos ago
01.7K
DeepSeek 美国版和中国的区别?

Difference between DeepSeek US version and China?

The main difference is that the level of review is different, and English content is naturally less filtered than Chinese content, see DeepSeek R1 Jailbreak: An attempt to break through DeepSeek's review mechanism. The tone of the Chinese answers to the questions is skewed towards "correct thinking". In the U.S. market, in order to satisfy the western users' need for information...
6mos ago
01.5K
20秒让你理解 DeepSeek-R1 与 ChatGPT 的差距有多大

20 seconds to understand how far DeepSeek-R1 is from ChatGPT

The most basic ability of the big model is instruction following, with the document: OpenAI o3-mini system manual (in Chinese) uploaded as an attachment to allow DeepSeek-R1 and ChatGPT to write social media blasts respectively (here I used a completely inappropriate prompt...
6mos ago
01.3K
使用 DeepSeek-R1 API 常见问题

Using the DeepSeek-R1 API Frequently Asked Questions

DeepSeek-R1 API The standard model name is: deepseek-reasoner DeepSeek-R1 supports cached hits Cached hits are generally used for high-frequency inputs with few sample examples, large document inputs with multiple outputs (less than 64 tok...
6mos ago
01.7K
教你快速注册申请到 .edu 学生邮箱

Teach you how to quickly sign up for a .edu student email address.

Many AI services can use .edu student email address to enjoy discounts or even free of charge, the benefits do not need to say more, those who understand understand... The .edu suffix mailboxes are getting more and more difficult to register. Considering the difficulty of submitting the information and the holding time when registering, we will give you a relatively feasible plan at present. Pre...
5mos ago
04.3K
向量数据库深度对比:Weaviate、Milvus 与 Qdrant

Vector Database Depth Comparison: Weaviate, Milvus & Qdrant

In the field of artificial intelligence and machine learning, especially when building applications such as RAG (Retrieval Augmented Generation) systems and semantic search, efficiently processing and retrieving massive unstructured data becomes crucial. Vector databases have emerged as a core technology to address this challenge. They are not only for storing high-dimensional ...
7mos ago
02.1K
解锁小红书营销密码:海外用户运营增长指南 (附PDF下载)

Unlocking the Little Red Book Marketing Code: A Guide to Growing Overseas User Operations (with PDF download)

Xiaohongshu, a hot social e-commerce platform in China and even in Asia, has long gone beyond a simple shopping app to become a weathervane for young people's lifestyles and a new position for brand marketing. For overseas brands and individuals wishing to enter the Chinese market or reach young consumers, mastering Xiaohongshu...
7mos ago
02.1K
Cursor 如何解决 Too many free trials. 提示?

How does Cursor solve the Too many free trials. prompt?

Previously, we all know that Cursor has a 14 days and 500 free entries limit for new users. Normally, when the 14 days expire, you can cancel your account and re-register so that you can continue to have 14 days of experience. But! If used more than 500 times, C...
7mos ago
02.4K
免费使用 Cursor/Windsur 生成各类实用信息图

Generate all kinds of useful infographics with Cursor/Windsur for free!

Once upon a time to share a lot of fun card map prompt word example, although fun, but the actual work found that there is no bird use. The reason is very simple: these card diagram prompt word template sample style code is generally fixed, the user's real intention and sample style does not match. Some people have done a more general prompt word adaptation: card map...
7mos ago
01.6K
实现 LLM 记忆系统的五种方式

Five ways to realize the LLM memory system

When building large language modeling (LLM) applications, memory systems are one of the key technologies to enhance conversation context management, long-term information storage, and semantic understanding. An efficient memory system can help the model maintain consistency over long conversations, extract key information, and even have the ability to retrieve historical conversations...
7mos ago
01.6K
为写作话题匹配合适的作家和写作风格

Matching the right writer and writing style to the writing topic

Background The English-speaking world has a lot of writers who are good at writing for the web, with very different styles and a large training corpus, and AI is very good at imitating them. With the writing style of these people, the content is more understandable or has a logical framework, and it is easier to write explosive text. Features Input the writing topic, AI automatically analyzes the most matching...
5mos ago
01K
学习:用自然语言执行工作流“状态变更”(状态机)

Learning: Performing workflow "state changes" in natural language (state machines)

Background In the design of customer service related dialogs, it is often necessary to let the user confirm the completion of the current action, and then perform the next action, there are two ways to achieve: 1. routing 2. prompt word 1. routing Generally by the big model to determine the user's state, and then perform the corresponding node service, which is the same as orchestrating the "smart...
7mos ago
01.4K