As an experienced journalist who relies heavily on ChatGPT Plus for my day-to-day work, I have found the recent transition away from plugins to individual GPTs in the ChatGPT marketplace apps to be a significant shift. Steven Vaughan-Nichols has provided a detailed explanation of this change, which I recommend reading for further insight.
One of the key features I have found most valuable in ChatGPT Plus is the data analysis capability. This feature allows for reading data files, completing analysis, generating charts, and even undertaking image analysis. Previously, users had to enable the Advanced Data Analysis option in the Settings dialog, which was previously known as Code Interpreter. However, this feature is now simply referred to as data analysis without the need for manual activation.
Another plugin that I have relied on is WebPilot, which enables ChatGPT to access the web. While there were limitations with this plugin, such as the inability to interact with dynamic elements on webpages, the transition to the embedded web extraction capability in ChatGPT Plus has provided a more seamless experience.
Despite the limitations of these features, I have found them to be powerful tools for enhancing productivity. For example, the data analysis capability has allowed me to perform sentiment analysis on large datasets quickly and efficiently, saving me significant time in my research process.
While there are challenges and limitations when working with ChatGPT, the key to success lies in delegating tasks effectively and working within the constraints of the AI. By understanding the capabilities of ChatGPT and leveraging its features strategically, users can unlock its full potential as a valuable tool for data analysis and research.