ChatGPT is an AI text generator like no other. This is another giant leap in AI adoption.
The best part about ChatGPT is that it’s currently free. However, this may change in the near future.
Now AI can not only generate text, but also write code to help programmers understand it. You can also write books, texts, blog posts, and more.
While the tool is impressive and looks like it could potentially replace programmers and content creators, there are still many question marks. For example, ChatGPT tends to convincingly provide inaccurate data to its users. Also, I don’t know the answer to your question about the event after 2021.
AI is here, but it still needs improvement.
This is a full review of OpenAI’s AI writing tool called ChatGPT.
What is ChatGPT?
Simply put, ChatGPT is a computer program designed to generate text similar to how humans write and speak. To do this, we use a large dataset of human-generated text as a reference and use machine learning techniques to learn the patterns and structure of that text.
Given a prompt or input, ChatGPT can generate responses that are relevant and fit naturally into the context of the conversation.
This helps build chatbots that can engage in natural conversations with users. ChatGPT is a variant of the GPT language model developed by OpenAI.
How does ChatGPT work?
You don’t need to understand how ChatGPT works on a technical level to use ChatGPT. But for some readers, this information may be insightful, so I’m sharing it here – jargon!
AI writing models like ChatGPT use machine learning algorithms to analyze and learn from large datasets of human-generated text. This dataset is used to train models on the linguistic patterns and structures used in texts, and the meanings and relationships between words and sentences.
Once the model is trained, it can be used to generate new text by predicting the words or phrases most likely to follow a given prompt or input. The model uses the patterns and structure learned from the training data to make predictions, producing text similar in style and structure to the training data.
There are several techniques that can be used to create AI descriptive models, including natural language processing (NLP) and machine learning algorithms such as neural networks.
- NLP focuses on the interaction between computers and human language. It includes techniques for analyzing, understanding, and producing natural language.
- Neural networks are machine learning algorithms inspired by the structure and function of the human brain. Neural networks can learn and make predictions based on large data sets.
At a low level, these machine learning models are just a bunch of code and math, just like any other computer program. But these models are coded to improve themselves.
AI lighting models can be used to generate a variety of written content such as articles, stories, and even poetry. The current state of the art in AI lighting is that while the tools are impressive, they still require human intervention.
My ChatGPT experience
In this section, we’ll show you how easy it is to use ChatGPT and what the use cases are.
ChatGPT can remember previous messages in a conversation and use that context to generate appropriate replies. Consider the entire flow of the conversation and use it to generate good answers.
Tip: ChatGPT has a word limit of 500. In other words, your message cannot exceed 500 words.
If your message is interrupted, just send “Continue” and ChatGPT will pick up where you left off.
Below is an example showing how ChatGPT saves previous messages in a chat.
Here you can see that my second message has nothing to do with it unless the bot knows what it said before. This shows how ChatGPT remembers past messages.
This is useful, for example, when: Blog posts or similar. At the end of the conversation, for example, you can ask ChatGPT to wrap up the entire thread into a final paragraph.
One obvious use case for ChatGPT AI is using it to create long-form content such as blog posts and articles. For example, here I am asking ChatGPT to create a blog post outline for a blog post about Santa Claus.
I actually wrote an article using ChatGPT experimentally. You can see the results here – his 2,500 word blog post written entirely by AI.
But hey, isn’t AI amazing if you don’t write code? Well, ChatGPT also writes code.
For example, here I asked ChatGPT to demo a class in Python.
As a software developer, I can say that this code actually works. This explanation is great enough for a novice programmer to understand.
Also, ChatGPT is more than just code. It helps you understand how your code works and helps you solve code problems.
For example, I’m asking ChatGPT to tell me what a piece of code is doing.
Here ChatGPT shows you what the code does and what happens when you run it! Pretty impressive, I must admit.
There are countless use cases for using ChatGPT today.
A classic way to use AI writing tools is to generate emails. The long emails we have to write from time to time take a lot of time and thought. Wouldn’t it be cool if AI could do it for you? Just say what you want to include in your email. Here is an example. I asked AI to generate an email to a recruiter.
This is a professional email. Just fill in the fields marked with  before sending.
A useful feature of ChatGPT is the ability to access past chats associated with your account. This wasn’t something you could use out of the box, but it’s such a useful feature that OpenAI added it less than two weeks after its initial release.
For example, here’s the chat I needed to create this review post:
Click on one of the chats on the left to access the chats. This also gives you the option to continue the conversation with the AI.
Performance and Accuracy
ChatGPT looks a lot like a human typist. In terms of speed, the tool can generate a 500 word response (maximum length of the current response) in 30-60 seconds. Also, ChatGPT itself does not wear out, so you can use it as many times as you like.
But speed and performance are two different things.
When it comes to accuracy, ChatGPT excels on well-known and well-researched topics. But once you add even a little depth to the topic, ChatGPT faces serious problems.
In my experience, ChatGPT can give you nonsensical answers and do it in a convincing way. This is difficult, especially if you are new to the topic. For this reason, ChatGPT still requires human intervention and is far from a finished product.
Speaking of inaccuracies, let’s talk about ChatGPT’s pros and cons next.
Pros & Cons
Just like any other tool or algorithm on the market, ChatGPT has its main drawbacks and pitfalls as well as the areas where it excels.
In this section, learn about ChatGPT’s most prominent strengths and weaknesses.
- Thanks to its intuitive interface, it is user-friendly and easy to use even for non-techies. Just sign up and use it like any other chat service.
- Affordable Typing Assistant – The tool is free (at least for now).
A fun tool for writers who want to boost their creativity and try out new ideas.
- It helps users generate new content and ideas, making it a useful tool for Writers to overcome his block and blank page syndrome.
- ChatGPT isn’t perfect and I can make mistakes in suggestions and corrections, so it’s important to make sure they’re accurate.
- ChatGPT is a useful tool, but it cannot fully replace human writers and requires human oversight to ensure the final product meets desired standards.
- 500 word message limit to limit text generation at a time (but you can say ‘continue’ when stopped)
- Occasionally repeats or suggests the same idea or modification over and over again.
- AI detectors are coming. With some AI detectors, you can already tell if the text was written by her AI or by a human. For more information, be sure to read my Writer.com AI Content Detector review.
- ChatGPT learned from the Internet. So you end up generating text that is very similar to the existing text.
To highlight the last drawback, take a look at this text I generated using ChatGPT. I asked ChatGPT to tell me who it was. The results are as follows.
It looks good.
But here’s the problem. The first sentence is a direct plagiarism from an article published on Medium. (I checked the content for plagiarism using the free version of Duplichecker)
This is a big problem with AI-generated content. Most are unique, but we don’t guarantee that. If there isn’t much information on this subject on the internet, you can probably only present your ideas in one or two very similar ways, which can lead to unoriginal content or even plagiarism.
That said, you should always ensure that AI-generated content is not plagiarized.
In summary, it’s clear that AI technology has come a long way, and AI typing tools like ChatGPT are becoming more and more useful.
However, it should be noted that these tools cannot yet fully replace human authors and require human intervention to ensure that the final product meets the desired standards. It is important.
ChatGPT is an impressive tool for writing both text and code, making it a versatile tool for a variety of use cases.
ChatGPT has important fallbacks that need to be addressed: B. The need for human supervision. This can still be a useful tool for writers looking to improve their productivity. To get the most out of ChatGPT, it’s important to experiment with the tool to find new use cases and workflows that work best for you.
Thank you for reading. Have fun writing!
Great. Coders will no longer be typists but creators and organizers!
American developers’ skills and brains are top notch!
Coder will have to be more creative, more competitive in the future. Repetitive things have machines, and inventions must have unlimited creativity created by humans.
The IT industry seems to be following the evolutionary path of agriculture. From having to manually take care of fertilizer is slowly being replaced by technology. Also requires the quality of the maker, from the coder to the engineer.
Personally, I find this ChatGPT really terrible, if in the future people really step into the Metaverse world with a VR / AR glasses or really implant a chip in the brain like what Neuralink is pursuing. , then there needs to be an AI that continuously responds like this ChatGPT. Google should do something to create a “ChatGPT” of their own.
Thank you for sharing your knowledge. Very interesting video, hope this chatGPT will be useful in the future!
Technology is so advanced now. It’s really top
This is push for all industries, can later do human jobs such as editing content scripts, market research, optimizing simple code like clean code bla bla… This AI finds it practical. but I don’t know how to train it to become a separate model and run it offline
GPT chat is too powerful. yt Instead of having to search (google + stackoverflow + youtube) => now just GPT
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