LLM Powered Research 馃
All right! With all that pondering and throat-clearing done (see my previous series of posts), I was wondering what piques my interest in this LLM-hyped world from a practical side . I've been somewhat active in critiquing this whole thing over the past two years, but beyond creating AI images for the blog (or to amuse myself), or using ChatGPT to make silly little genre-busting poems (again amusement and play), and or using ChatGPT to give me a boilerplate letter that I can then tweak (marginal utility, but I guess if organization ask for things that can be boilerplated, they get something that is boilerplate). I don't mean to dismiss the value of experimentation or play, they are valuable and low-stress ways to get to know a tool and then you may get an AHA!!! moment of a sort. I've been thinking of something more structured. I was listening to a relatively recent episode (it was recent when I started writing this darned post!_ of the Vergecast , titled The Chatbot B