Copyediting: AI can scrutinize content and help improve content quality by finding and reducing grammatical errors. SEO: ChatGPT helps marketers generate keyword ideas to create content plans for blogs and social media. Generate subtitles and subtitles: ChatGPT can generate subtitles and subtitles for video and audio content, which makes it more accessible to a wider audience. Virtual Assistants: GPT3, the brains behind ChatGPT, can create virtual assistants to help customers complete tasks such as making appointments, ordering new products, and finding information.
Whenever a new AI technology is rich people data introduced, there is always a concern that it will replace the jobs of human workers. Currently, ChatGPT is automating tasks to make creators and coders work more efficiently. GitHub copilot is a great example of this, helping developers be more productive by leveraging knowledge of the world's open source code. But the quality of GPT3 content still relies heavily on the quality of its training data.
It requires human supervision and curation to ensure the output is appropriate for the target audience. In other words, GPT3 still requires developers to have certain technical knowledge to fully utilize its capabilities. It is not a tool for people without programming or data analysis experience, especially if you want to get the best results from it. If your company plans to go beyond the basics (and it should), you'll need a team of developers to train it on real data and audience-related information, and to maintain and update it.