Did you know today, only LLM is the highest skill in today’s AI driven world? Whether you have AI development knowledge or not, if you learn the core skills of LLM, you will become the master of every trade.
1. Generate
Every LLM’s main feature is to generate the output (image, video, and text). The generation process is always based on sending the input (image, video, and text) and context and retrieving the output. The LLM is built with a large amount of text and is well-trained for the intrinsic connection of language and usage patterns in the human world. For example, the chat agents answer the user questions based on training data.
2. Summarize
The generation of content is the most basic functionality of the LLM, and it is well understood by everyone. But the summarization is more important than content generation. For example, LLM can extract and summarize the text input by the user, like you want to learn about the central ideas discussed in meetings, reports, articles, emails, etc. The summarization is the key ability of LLM to obtain the key information about the topic.
3. Extraction
Many times, you are only concerned about specific entities in the output result. For example, you need to extract information such as time, place, and person, like finding the relevancy for a client with respect to legal clauses. Without LLM, it requires a large team and more working hours.
4. Classify
Classification means you need to learn about the semantic aspects. For example, a business wants to analyze the public’s feedback on products. For this process, they have to provide the collection of large amounts of data. Normally, it requires thousands of well-trained people to gather public sentiment analysis. In addition, social media platforms generate a large amount of data every day. When you have applied the LLM classification ability, you will find out the main trends.
5. Search
Everyone is already familiar with Google search, which is based on keywords. Whenever you search in Google, you will find highly relevant content or links based on your keyword. In respect of LLM, the search is based on the semantic method, and it is always better than keywords. For example, you will find the appropriate image based on text input; the image has the same value as described in the search text.
6. Rewrite
LLM can also be used to rewrite the content. You can polish and correct the input text. For example, you are writing the legal contract, but due to some technical weaknesses, you have missed a good deal of important information in the legal contract. But with LLM, you can automatically correct the legal text, which is clearer and more fluent in expression.
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