[交互逻辑] How can beginners learn ChatGPT, how to understand it, and easily learn it step by step—from understanding it to office automation?

ChatGPT and similar AI tools are still far from widespread adoption. For beginners, the impression of ChatGPT is vague; beginners generally think ChatGPT is just a chatbot, and this understanding is very misleading. If you really think it is just chatting, it will truly waste a lot of your time. When learning something new, we must first clearly understand what it is so we can learn it fastest.

What exactly is ChatGPT

It is a product of OpenAI. It is an AI, a product of natural language (NLP large models). It is not itself a large model; it is a commercial product built on top of large data-processing models. Because it is a product, it has a set of preset rules that fit user usage, so it is a tool developed according to users' needs. To make it easy for almost everyone to get started, its working method uses chat interaction: you enter a request and it answers. The operation is simple and the effect is intuitive. Through simple tests you can clearly feel its operating process, and then become fascinated, shocked, and amazed by its effects. This paragraph is to tell you that it is an AI product built on data-processing large models; it is a tool.

For OpenAI, ChatGPT itself is a hook, a surface phenomenon, while the real capability is the large model behind it. After all, a single ChatGPT helping us organize some data and generate some data cannot solve complex business scenarios. Now OpenAI has opened up more capabilities for us to learn and use, thereby satisfying our personalized office needs.

Unlock all hidden capabilities

We need to learn all the capabilities it has opened up in order to maximize our use of AI. Based on large models such as GPT-3, GPT-4, and GPT-4o, OpenAI has opened up API, fine-tuning, Assistant API, and other functions. We can use our own private data and personalized needs to develop applications. Connecting these capabilities together is a process from easy (prompt engineering) to difficult (automated office), from single to comprehensive. If using ChatGPT's web window for office work could shorten 10 days of work to 1 day, then after learning these, you only need to write a script, and you can complete the work anytime and anywhere—1 second or a few seconds, 10 minutes or 1 hour; in short, it won't take too much.



The process from shallow to deep

Prompt engineering: master input techniques for simple AI office work. Use API: connect external tools for automated office work. Assistant API: use private data to build applications. Fine-tune large models: create private models with unique style and understanding. Of course, there are many other hidden capabilities, such as semantic analysis and sentiment analysis, which can be used for data analysis, etc. You will find that ultimately, to build an application that meets expectations, you will use all these technologies; you need to combine them to create an application that fits personalized needs.



As the first-choice course for AI beginners

Natural language large models are the first choice for getting started with AI. They apply to any industry. As long as you are involved with text (in any form) and charts, you cannot do without them. What we do when using computers and electronic devices is actually inputting and outputting text and strings; images are also composed of characters, and videos are the same. Its effects are intuitive, the operation is simple, and it is highly flexible; it can be connected to our office software. We can skip learning image generation, video generation, and speech generation, but text generation is a basic part of life and a mandatory option.

The learning cost of learning everything

The moderator spent about 1 year self-studying this knowledge. If the moderator taught you, you might learn it all in at most 1 month, or as little as 10 days. In fact, the technical difficulty is not high, but the concepts are convoluted and easy to confuse. If you do not understand clearly, you will take detours and waste a lot of time. After all, it is something from abroad; if there is someone with prior experience to guide you at each step, it will become much smoother.
Through this article, the moderator has given you an overall introduction, letting everyone know what the whole OpenAI is about.

How much effort is needed to learn

The moderator studied day and night, tested and practiced extensively, and spent 1 year to thoroughly see through their logic. Each function is like a trap: at first you think it is simple, but when you really apply it in practice, it becomes difficult, and only then do you know that relying on simple theory is not enough to develop complex business. Why did I spend so long? Because there was almost no reference content. ChatGPT was released in November 2022, and it has not even been 2 years. They also do not have much documentation for popular education, and the moderator's English is also quite average. But learning is interesting; when you solve one problem after another, you feel very happy, and everything is worth it. I think we need to know this technology, because it is like the emergence of "electricity": it replaces part of social productivity, applies to all industries, and using it well will greatly reduce costs and increase efficiency—1 person can do the work of 10 or 100 people.

How to learn and master it easily

After truly understanding it, we should no longer say we have learned ChatGPT, but rather that we have learned NLP large models led by OpenAI—the first-choice knowledge for getting started with AI. The easiest way is to have someone guide you; don't explore it all by yourself. I will teach you the knowledge from more than 1 year, 1-on-1, until you learn it, with every step covered.
For course introduction, see here: https://www.niuboyi.com/peixun/