Copilot version of my previous post (a holy crab version)

The article discusses the use of large language models (LLMs) to generate content based on prompts. The author shares their experience using OpenAI's Copilot, a language model, to create a blog post. They highlight the ability of LLMs to generate different types of content based on the desired mood or purpose. The author also mentions that Copilot went beyond their initial prompt and twisted the facts, but acknowledges that this may be rectified in the future. They then provide an example of a blog post generated by Copilot, which discusses creating a custom connector for Power Automate and Dataverse. The author explains how they were frustrated with the limitations of the existing connector and how the new environment parameter provided more flexibility. They share their process of creating a custom connector and express their satisfaction with the results. The author concludes by sharing their custom connector with others and inviting feedback.

Article 17m It Ain’t Boring

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