SciSpace is among the most versatile tools for a literature review. It searches over 283 million articles, analyzes each of them according to your question, and allows you to dig deep into any PDF. A tool that you don’t want to miss in your lit review tool belt.
This workflow takes you from a very rough outline to a polished manuscript using a set of AI tools. Literature is researched and skimmed during the writing process saving you massive amounts of time on secondary literature.
ChatGPT has a bad reputation when it comes to finding literature but only if you use it wrong. In this workflow we are going to collect many papers with an AI powered tol and then filter them all at once using ChatGPT and Zotero. You are guaranteed a truthful reply from the AI and yet can process 100s of papers in a seconds.
OpenAI released the GPT store. GPTs allow you to create specialized versions of ChatGPT for any use-case. In this post we look at 5 examples and also some trends of AI in academia.
Learn how to fine-tune your own version of ChatGPT for a specific purpose. In this tutorial we are building an AI post-doc that will know everything on your research topic and research questions to help you review papers quickly and easily.
Keeping up with an increasing number of publication becomes harder and harder. Luckily we can combine a set of tools and practices to help us cope with information overload.
In this workflow we are going to use ChatGPT to create a visual diagram from our notes using a little known technology: Mermaid Graphs. The result is a visual mind map generated from a collection of loose notes. Additionally ChatGPT will help us to uncover research gaps and open questions.