In today’s lab, I am going to talk about the original purpose of generative AI, which is essentially analyzing works of text. I will also demonstrate how to take actual research information and blend it into a blog article or a newsletter article. One interesting aspect is to check if the generated words are detectable as being artificial intelligence-generated as opposed to written by a human.
The training sets for these AI models include a lot of human feedback in areas such as processing, translations, and transcriptions. They also contain extensive data from scientific papers, research articles, and other complex texts. The goal is to transform this dense and hard-to-understand information into content that is readable by an average human, rather than an expert in the field.
Many people are now using AI to write newsletters, blogs, and other forms of written content. The AI models, like GPT-4, can analyze existing articles and generate new content that closely mirrors the style and structure of the input articles. However, it is challenging to definitively determine whether a piece of content was written by an AI or a human, as the AI outputs can closely resemble well-written human articles.
In conclusion, while AI-generated content can be well-written and informative, there is no definitive evidence from the text alone to determine its origin. It could have been written by a knowledgeable human or by an advanced AI model. When using AI to generate content, it is important to cite the sources and go through the content to ensure ethical use and add your own voice and edits.
If you’re interested in learning more about using AI systems for content generation, you can check out the Future Fiction Academy, where coaches and members explore various topics related to AI. Don’t forget to like and subscribe for more videos on this topic. Thank you for your time, and we’ll see you in the labs!
