People commonly refer to fine-tuning when attempting to address their problems with AI. In a recent conversation with an OpenAI Ambassador, I was told that they “convince 90% not to use fine-tuning to solve their problem,” confirming my hunch that fine-tuning is one of the most misunderstood tools in AI. Fine-tuning is often more complicated and less …
Are you tired of sifting through countless notes in your Obsidian vault to find the information you need? Introducing Smart Connections, the AI-powered plugin that revolutionizes how you organize and access your notes in Obsidian. As someone who has struggled with: I understand how frustrating it can be to lack the ability to work with your …
Tools like the OpenAI Embeddings API are changing the way search is performed. Instead of matching keywords, a language model converts text into vectors. These vectors represent the text using hundreds or even thousands of dimensions mathematically. This way, when searching, matches can be made based on the underlying intent of the query instead of just keywords. …
While technically speaking, you cannot generate a 2,000-word article with ChatGPT, it can be done if you break the content into smaller pieces. In addition to the technical limitations, there are also style limitations to consider when generating content with ChatGPT. The style limitations are why I wouldn’t use ChatGPT. In this article, I will …
Using ChatGPT to Write a 2,000 Word Article (Why I wouldn’t, but how I would do it) Read More »
An experiment based on prompts from the awesome ChatGPT prompts GitHub repo. Which performs better, asking a simple question to ChatGPT? Or prefacing the question with a verbose prompt? “Machine Learning” Test Question sourced from the repository: Full prompt from the repository: Test using just the question with ChatGPT: Test using the full prompt from the GitHub …
