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Lesson6: Transforming

Overview

In this notebook, we will explore how to use Large Language Models for text transformation tasks such as language translation, spelling and grammar checking, tone adjustment, and format conversion.

Transformation Tasks

Translation

  • ChatGPT is trained with sources in many languages. This gives the model the ability to do translation. Here are some examples of how to use this capability.

Universal Translator

  • Imagine you are in charge of IT at a large multinational e-commerce company. Users are messaging you with IT issues in all their native languages. Your staff is from all over the world and speaks only their native languages. You need a universal translator!

Tone Transformation

  • Writing can vary based on the intended audience. ChatGPT can produce different tones.

Format Conversion

  • ChatGPT can translate between formats. The prompt should describe the input and output formats.

Spellcheck/Grammar check

  • Here are some examples of common grammar and spelling problems and the LLM's response.

  • To signal to the LLM that you want it to proofread your text, you instruct the model to 'proofread' or 'proofread and correct'.

Notebook & Code

Check the notebook to see the examples for each of those tasks above.

References

Main course :