AI Knowledge Base

Total 1231 articles posts
DeepRetrieval:强化学习驱动的高效信息检索查询生成

DeepRetrieval: efficient information retrieval query generation driven by reinforcement learning

Abstract Information retrieval systems are critical for efficient access to large document collections. Recent approaches utilize Large Language Models (LLMs) to improve retrieval performance through query augmentation, but typically rely on expensive supervised learning or distillation techniques that require significant computational resources and manually labeled data ...
8mos ago
030.1K
文心智能体教程:(二)工作流创建智能体

Wenxin Intelligent Body Tutorial: (II) Workflow to Create Intelligent Body

The workflow creation pattern supports developers to quickly build intelligences by orchestrating workflows, where you can drag and drop and combine models, prompts, code, and other modules to realize accurate and complex business processes. Poke here to watch the video course "Workflow Development of Intelligent Bodies in Practice". Create After logging into the platform...
1yrs ago
030.1K
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...
10mos ago
029.9K
教你用AI制作一个自己的微信红包封面

Teach you to make a WeChat red envelope cover of your own with AI

A very good application scenario for AI images and videos is the WeChat Red Envelope Cover, where your single particularly good image or video subplot can also create value. There has been a business of selling red envelope covers since WeChat introduced them, but it turns out that they are not officially supported, and even counted as a violation if reported...
11mos ago
029.9K
OpenAI-o1有多厉害?深度优化论文,提升论文写作质量!30个极品提示词分享

How powerful is OpenAI-o1? Deeply Optimize Your Dissertation to Improve the Quality of Your Dissertation Writing! 30 Extreme Prompt Words to Share

A UCI physics PhD tested o1 and found that the code for his PhD thesis, which took him 1 year to complete, was implemented by AI in less than an hour. o1 models are already strong enough to straighten out PhD thesis code! This also means revolutionizing the writing of academic papers. By carefully constructing prompt words...
12mos ago
029.8K
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,...
10mos ago
029.8K
本地部署 QwQ-32B 大模型:个人电脑轻松上手指南

Local Deployment QwQ-32B Large Model: Easy to follow guide for PCs

The field of Artificial Intelligence (AI) modeling is always full of surprises, and every technological breakthrough can pull the nerves of the industry. Recently, Alibaba's QwQ team released its latest inference model QwQ-32B in the wee hours of the morning, which once again aroused widespread attention. According to the official announcement, QwQ-3...
9mos ago
029.7K
用万能的“第一性原则”优化你的提示词

Optimize your prompts with the all-powerful 'firstness principle'

This method is simple but effective, the effect is comparable to the "principle of two or eight", he will not optimize the prompt word itself, but to optimize the quality of the output answer. If the cue is used to analyze the question, just insert the "firstness principle" in the appropriate place on top of the original cue. As an example, if there is no...
9mos ago
029.7K
Agentic Chunking:AI Agent 驱动的语义文本分块

Agentic Chunking: AI Agent-Driven Semantic Text Chunking

Introduction Text chunking plays a crucial role in the application domain of Large Language Models (LLMs), especially in Retrieval Augmented Generation (RAG) systems. The quality of text chunking is directly related to the validity of contextual information, which in turn affects ...
9mos ago
029.6K
将文档转换为 Mermaid 格式知识(事实关系)图谱

Convert documents to Mermaid format knowledge (factual relationship) mapping

Recently, I've been studying Ollama's API documentation, and it's hard to build up a complete relationship in my head with all the lengthy content, so I thought of generating a Mermaid-formatted relationship chart from the API documentation, which only expresses the factual relationships. Of course, you can also use it to sort out the relationships between characters, events...
9mos ago
029.6K
解决Suno幻觉问题

Solving the Suno hallucination

Chirp may sing slurred words at certain times.' Phantom hearing' timing is when the song deviates from the expected lyrics, or Chirp is unable to find lyrics that match the melody. We can't 'fix' the lyrics after the audio clip has been generated, but we try as much as possible to prevent the same when the audio is generated again...
1yrs ago
029.6K
Claude常见用例指南:工单分配

Claude Common Use Case Guide: Work Order Assignment

This guide describes how to utilize Claude's advanced natural language understanding capabilities to categorize customer support work orders at scale based on customer intent, urgency, priority, customer profile, and other factors. Defining whether to use Claude for work order assignment Here are some key indicators that you should make...
1yrs ago
029.5K
BM25

BM25

Introduction Why to introduce him separately, many scenarios apply GPT3 embedded vector representation, the efficiency and results may not be as good as the traditional model, which needs to be paid attention to all the time. BM25 is a vector space model, but it does not belong to the word vector model, document vector model, image vector model, knowledge graph vector...
1yrs ago
029.4K
windsurf支持微信小程序开发吗?

Does windsurf support microsoft applet development?

Windsurf is an AI-based development tool that supports a variety of development frameworks and languages, including the development of WeChat Small Programs. According to the latest information, Windsurf can help developers quickly build WeChat Small Program projects and generate code and project closure through natural language commands...
11mos ago
029.3K
Kimi官方提示词:期刊审稿

Kimi's official cue word: journal review

I would like you to act as a journal reviewer. You will be required to review and critique submitted articles by critically assessing their research, methods, methodology, and conclusions, and by providing constructive criticism of their strengths and weaknesses. ## Note - You only start answering when a user asks a question...
1yrs ago
029.3K
Leonardo AI:进阶文本生成图片提示技巧

Leonardo AI: Advanced Text-to-Picture Hints Tips

Getting Started Tip The prompt input box is located at the top of the screen. Here you can enter exactly what you want to generate. You can enter just the elements you want to see, or you can enter complete sentences - as the system understands both very well. But the key is clarity - the more our AI tools can...
1yrs ago
029.3K
Copy.AI工作流中编写提示的最佳实践

Best practices for writing prompts in Copy.AI workflows

Construction of Hints Good hints generally begin with a statement of relevant data or context and end with specific instructions on what to do. Doing so gives the AI a clear understanding of the information that must be processed before it understands how it should be utilized. For example: If you want the AI to create a...
2yrs ago
029.3K
使用Claude 3 Opus整理并总结长文本

Organize and Summarize Long Text with Claude 3 Opus

Organize Long Text Prompt: "The following is a transcript of an interview with YYY by XXX that I have put together, please organize it into a more readable conversational format, form chapters based on the topic, include names of people, embellish appropriately while respecting the original intent, and don't leave anything out from the beginning!" As...
1yrs ago
029.2K
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...
10mos ago
029.2K
Emotional RAG(情感 RAG): 通过情感检索增强角色扮演的智能体

Emotional RAG: Intelligence for Enhanced Role-Playing through Emotional Retrieval

Abstract The field of role-playing research for generating human-like responses has attracted increasing attention as Large Language Models (LLMs) have demonstrated a high degree of human-like capabilities. This has facilitated the exploration of role-playing agents in a variety of applications, such as chatbots that can engage in natural conversations with users, and those that can provide personal ...
1yrs ago
029.2K
如何测试使用的 DeepSeek-R1 是不是满血版?

How can I test if the DeepSeek-R1 I'm using is a full-blooded version?

DeepSeek has been continuously on fire for over a month. The official website still has a busy server, and the suspended API recharge channel is still open. During this time, the enthusiasm for local deployment and cloud deployment remains high, and various websites accessing DeepSeek have sprung up. In addition to the familiar big...
9mos ago
029.2K
文心智能体教程:(四)加工文档并同步到知识库

Wenxin Intelligent Body Tutorial: (4) Processing Documents and Synchronizing to the Knowledge Base

Introduction to Knowledge Base The knowledge base is the data basis for the intelligent body's output answers, which is suitable for developers with professional data accumulation, and developers who have accuracy and professionalism requirements for the output results. Upload your own data in the knowledge base module, and the big model interacts with the user in the process, based on the similar content retrieved from the knowledge base...
1yrs ago
029.2K
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...
10mos ago
029.1K
ReAct实现逻辑实操

Hands-on ReAct Implementation Logic

Using the Reflection technique to validate the React full process rationalization. https://arxiv.org/abs/2303.11366 Step 1: Constructing ReAct's base prompt instruction The first step is centered on printing out the...
2yrs ago
029.1K
Anthropic总结构建高效智能体简单且有效的方法

Anthropic summarizes simple and effective ways to build efficient intelligences

Over the past year, we've worked with teams building Large Language Model (LLM) agents across multiple industries. Consistently, we've found that the most successful implementations didn't use complex frameworks or specialized libraries, but rather were built with simple, composable patterns. In this post, we'll share what we've learned from working with customers to...
9mos ago
029K
Kimi官方提示词:Suno 歌词生成

Kimi Official Cue: Suno Lyrics Generation

You are a master lyricist, now, I need you to help me write a lyric about """ that describes the story of """, the overall song is 2 minutes or less in length, it should rhyme, it should have a literary quality, and the chorus should be repeated across the lines. Please help me compose it according to the following structure: """ [instrumen...
11mos ago
029K
MCP开放协议是什么?

What is the MCP Open Protocol?

It's an open standard we've developed at Anthropic to address the core challenge of Large Language Model (LLM) applications - connecting them to your data. There's no need to build custom integrations for each data source.MCP provides one protocol to connect all data sources: ...
1yrs ago
029K
本站专用的科技类文章“洗稿”提示词

Site-specific "wash" words for science and technology articles

The vast majority of the content of the AI sharing circle is captured and rewritten using AI to generate the content, a long, long time ago to share a dedicated translation prompt word, generate AI tool introduction prompt word, this time to share the last washout prompt word as well. Note The purpose of using the prompt word is not to 100% over AI...
9mos ago
029K
使用 Tana 制作属于你的 Life Log

Make your own Life Log with Tana

Life Log is a time-based recording without categorization.Logseq is the ideal note-taking tool, where each life log is a node for easy searching and tagging.Tana is also node-based and suitable for building Life Logs, offering great functionality but...
1yrs ago
029K
避免ChatGPT偷懒的提示词

Avoiding ChatGPT's Lazy Cue Words

4o used to work, and 4o-mini should work, but the latest 4o and o1 add a lot of thought processes, so the validity of the prompt is unknown. The way to use it is to type in the prompt before the conversation, and then start the conversation. There's not much technique to this cue word, just...
1yrs ago
029K
Manus 如何申请到内测体验资格?

How does Manus qualify for the beta experience?

Manus opens the qualification for beta testing on March 6, 2025, and is currently inviting big Vs to beta test in some core groups and on Twitter. The most direct way is to enter the Manus official, register and apply for the internal test: at the same time, you can fill in the invitation code in the interface, which is currently difficult to get. The second way...
9mos ago
029K
为Cursor配置Function编程提示词指令

Configuring the Function Programming Prompt Word Directive for Cursor

The system is designed as a Python programming assistant to help users understand errors in their code implementations and provide feedback to improve the code. The system realizes its functionality through the following elements: Functionality: the role of the assistant is clearly defined as a programming assistant, especially for the Python programming language...
1yrs ago
028.9K
chatgpt和deepseek的主要区别是什么?

What is the main difference between chatgpt and deepseek?

ChatGPT (developed by OpenAI) and DeepSeek (developed by China Depth Seeker), as the two mainstream language models, there are significant differences in technical architecture, application scenarios, language support, etc. The following is a summary of the core areas: First, the model architecture and training logic ...
9mos ago
028.8K