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Make a Text Summarizer with GPT-3 | by Jay Peterman | Jan, 2023 | Towards Data Science
Source: towardsdatascience.com
Article summary:
1. This tutorial introduces readers to the OpenAI ecosystem and provides an example of how to build a Streamlit app that uses GPT-3 to summarize text.
2. It requires some knowledge of Python, Git/Github, and command line, but can act as a guide for newcomers.
3. The tutorial outlines the steps needed to set up a git repo in Github, create a .gitignore file, set up a virtual environment and install packages, get an OpenAI API key, and build out the front end of the app.
Article analysis:
The article is generally trustworthy and reliable in its content. It provides clear instructions on how to use OpenAI’s GPT-3 model to create a text summarizer using Python and Streamlit. The author also mentions that some knowledge of Python, Git/Github, and command line will be useful for this task. The article does not contain any unsupported claims or missing points of consideration; it is comprehensive in its coverage of the topic at hand. Furthermore, there are no promotional content or partiality present in the article; it is written objectively with no bias towards any particular technology or platform. Additionally, possible risks associated with using language models are noted throughout the article. Finally, both sides of the argument (i.e., those who have prior experience with language models versus those who do not) are presented equally throughout the article; thus there is no one-sided reporting present either. In conclusion, this article is trustworthy and reliable in its content and presentation.