Key Takeaway: Published writers can ask ChatGPT to emulate their style by referencing existing work; anyone can submit samples of their own writing for emulation, or you can simply describe a style using plain language.

ChatGPT can generate excellent text on virtually any subject, but by default, it has a very bland (and obvious) tone. Instead of editing that text into your own style to use it, you can simply teach ChatGPT your style instead. Read More

Landing AI’s Visual Prompting capability is an innovative approach that takes text prompting, used in applications such as ChatGPT, to computer vision. The impressive part? With only a few clicks, you can transform an unlabeled dataset into a deployed model in mere minutes. This results in a significantly simplified, faster, and more user-friendly workflow for applying computer vision.

Traditionally, building a natural language processing (NLP) model was a time-consuming process that required a great deal of data labeling and training before any predictions could be made. However, things have changed radically. Thanks to large pre-trained transformer models like GPT-4, a single API call is all you need to begin using a model. This low-effort setup has removed all the hassle and allowed users to prompt an AI and start getting results in seconds.

Similarly to what has happened in NLP, large pre-trained vision transformers have made it possible for us to implement Visual Prompting. This approach accelerates the building process, as only a few simple visual prompts are required. You can have a working computer vision system deployed and make inferences in seconds or minutes; this will benefit both individual projects and enterprise solutions. Read More