Do you want to learn how to use ChatGPT in your profession?

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The Chat GPT: Digital Marketing Assistant course will help you learn everything about the practical applications of ChatGPT and its capabilities. During the training, you will understand the mechanics of AI and the main tasks it is capable of performing.

Working with big data
If you have large amounts of data, large PDFs, china telegram data or any other materials, a neural network called Claude can analyze these huge texts and generate summaries for you, which can then be used in other prompts.

Regarding the context window, or how much data can be loaded, Claude has 100,000 tokens.

Working with big data

Now a quick note on tokens , which is important for understanding how a neural network works. In GPT-4, each token is 32,000 , reflecting its memory and processing power.

Working with big data

Also important is the concept of Embedding . It reflects the process of converting texts into numerical values, between which distances can be determined. The neural network treats these distances as similar words arranged by topic, for example, food in one group, social networks in another, and so on.

Working with big data

So, there are several aspects that a neural network analyzes. We understand that text is converted into tokens, numerical representations, between which the network determines the distance. The smaller the distance, the more words are grouped together, which allows the network to predict the next output. It is important to remember that a neural network does not have consciousness like a human; it is an algorithm created by humans for humans. The myth that artificial intelligence will take over the world remains a myth, because we are far from such a reality.

Let's talk about agents. Don't be afraid of artificial intelligence; it won't replace you, it will only help you. Your knowledge and creativity are used by humans, not the other way around.

Research shows that neural networks are great at analyzing the beginning and end of text. However, it is important to remember that they can miss some information inside. So choose the right prompt and provide relevant examples to avoid inaccuracies.