Beginner’s Guide: The Easiest Claude Assistant Tutorial!
Today, I want to discuss the Claude AI assistant with everyone, helping you thoroughly understand what Claude really is.
When it comes to knowing and effectively using Claude, I have summarized a 3+2 model, which consists of 3 foundational understandings and 2 advanced applications.
This model is based on the experience that I, along with hundreds of AI beginners, have repeatedly verified after getting started.
When talking about the Claude AI assistant, we first need to clarify three foundational understandings.
First: Claude is an AI assistant developed by Anthropic, and it is not just a simple chatbot.
Second: Compared to other AI assistants, Claude has unique advantages in academic ability, creative capability, and logical analysis.
Third: Claude has multiple versions, from the earliest 1.0 to the current 3.5, with significant improvements in each generation.
Speaking of the positioning of the Claude AI assistant, I can’t help but recall an experience from a few days ago when I was guiding a beginner.
This friend had always regarded Claude as an ordinary chatbot, thus missing out on its most powerful features.
In fact, Claude is more like an all-around assistant; it can not only chat with you but, more importantly, help you handle various professional tasks.
Why do I say Claude is different from other AI assistants?
This starts with its training method.
Anthropic has adopted a unique constitutional AI training method, allowing Claude to focus more on factual basis when answering questions, rather than improvising.
I remember attending an AI seminar last year where an engineer from Anthropic shared that Claude’s training data includes a large number of academic papers and professional literature, which is why it performs excellently in academic writing and professional analysis.
For this reason, I prepared a comprehensive application guide for core members detailing Claude’s typical applications and exclusive prompts in different professional fields, helping everyone quickly master Claude’s core functions.
Next, let’s talk about the characteristics of different versions of Claude.
From Claude 1.0 to the current 3.5 Sonnet, each version has shown significant capability improvements.
The Claude 1.0 version established the foundational functions, mainly focusing on text understanding and generation.
Claude 2.0 significantly enhanced understanding and creative levels.
By the time of Claude 3.0, an image recognition feature was added, allowing it to answer questions based on images.
The latest 3.5 version has added code analysis and programming capabilities.
At this point, I recall an interesting example.
Last week, a friend doing research used Claude 1.0 and 3.5 to complete the same literature review task; the 3.5 version not only completed the task twice as fast but also automatically summarized deeper research findings.
Now, let’s discuss the two advanced applications, which many beginners tend to overlook.
The first advanced application is role-playing.
Claude can simulate experts from different fields, making conversations more professional and targeted.
For example, you can have it act as an experienced thesis advisor, which will yield better results when helping you revise your paper.
I recently guided a doctoral student using Claude to revise their thesis, achieving remarkable results through role-playing.
I had Claude act as a senior reviewer in the field, who not only pointed out logical flaws in the thesis but also provided many constructive suggestions.
The second advanced application is task chain decomposition.
Many people directly ask Claude to complete complex tasks at once, which often yields unsatisfactory results.
The correct approach is to break down large tasks into smaller tasks and complete them step by step.
Just yesterday, I helped a self-media creator optimize their content; we didn’t directly ask Claude to generate an entire article, but instead proceeded step by step: first analyzing the target audience, then designing the content framework, and finally writing the specifics.
This method not only makes the content more targeted but also ensures better quality.
Now, Claude’s application scenarios are very broad.
From academic research to business writing, from code programming to data analysis, it can handle them all.
However, to effectively use the Claude AI assistant, it is crucial to understand its features and limitations.
Recently, I discovered that many users face a common issue when using Claude: their instructions are not precise enough.
For example, if you want Claude to help write a copy, simply saying ‘help me write a copy’ is too vague, and the results will naturally be unsatisfactory.
The correct approach is to provide detailed background information and specific requirements.
I often receive feedback from students expressing surprise.
One student involved in educational training told me that after using Claude, her efficiency in writing course outlines improved threefold.
Another friend who is a product manager said that Claude saved him a lot of time writing product documents.
Speaking of Claude’s usage tips, I suddenly thought of an important addition.
Many beginners do not know that Claude actually has a powerful feature: it can continuously adjust its output based on your feedback.
If you are not satisfied with the results, you can directly tell it what needs to be improved, and it will optimize the content based on your feedback.
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PS. How to get the latest model account for Claude and watch my internal advanced sharing on Claude?
The exclusive advanced Claude application course from “Ai Jiu Teaches You to Use AI” and the domestic Claude account pool, as well as better Claude accounts, are all available here. Note “Claude” will pass friendly within 10 minutes.
