Since the general release of ChatGPT 4.0 from OpenAI, I have used it daily along with several other AI tools like Anthropic's Claude, Google's Bard – now Gemini, Microsoft Co-Pilot, and domain-specific models, however briefly, such as BloombergGPT (see my blog post
Nice read, thanks. I agree based on my experience with ChatGPT that it is a good starting point for most things, but it lacks that dynamic real-world thinking, as you say in your examples.
Creating your own GPT (such as OpenAI’s GPT Builder) has been transformational for actual AI application in daily use. Finessing the data, choosing the NLP model(s) in use and more while building PLM’s (Personal Language Models) makes things generational far more precise and functional. The moment of personal intelligence is upon us, if one chooses to tune the available tools.
Nice read, thanks. I agree based on my experience with ChatGPT that it is a good starting point for most things, but it lacks that dynamic real-world thinking, as you say in your examples.
Creating your own GPT (such as OpenAI’s GPT Builder) has been transformational for actual AI application in daily use. Finessing the data, choosing the NLP model(s) in use and more while building PLM’s (Personal Language Models) makes things generational far more precise and functional. The moment of personal intelligence is upon us, if one chooses to tune the available tools.