
In my opinion, the most useful feature of GenAI is its versatility. It can be used for a vast number of different, unrelated tasks. For example, you can use it to brainstorm new ideas, get instant feedback on your work, get immediate help when you are stuck, or access a personalized tutor who is always available and never gets annoyed or tired of your questions.
My experience of using AI intensively began at the end of 2022 with the release of ChatGPT. Initially, it helped me with my writing assignments and explained difficult concepts in a more accessible way. However, GenAI tools have evolved significantly since then, to the point where they can mimic thinking processes in multiple steps and generate even more creative ideas by adjusting their temperature settings.
Despite all the benefits of generative AI, some of the tools don’t always provide accurate or fully understandable answers, which could cause problems when dealing with complex topics. Which is why I use different tools for different purposes.
Recently, I have narrowed down my use of AI to two main apps. If I need to ensure the output I get from AI is correct, I use Google’s NotebookLM, which allows you to upload your own sources from which it generates answers in the form of text, reports, mind maps, audio (podcasts) and, quite recently, video presentations.
However, when creativity is needed, I use Perplexity’s AI. Recently, I discovered that I can use AI to help me with the entire job-searching process. First, I utilise the fact that Perplexity knows a lot about me and send it on a quest to search the internet for open job offers that would suit me. After chatting with it, I decide on the most promising prospects and ask it to provide feedback on my CV and help me create motivational letters or cover letters. If I am invited to a job interview, I prepare by using the talk feature of Perplexity to interview me specifically for the job at hand.
I consider AI the perfect companion for things that require a second opinion or creating something quick and dirty that would have otherwise cost hours to research and put together manually.
Author: Johannes Erath 785513je