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As a programmer, large language models let me solve an increasing range of problems that I couldn't have solved without them. So I think they are a very big deal. Just one example: parsing structured data out of a big pile of poorly formatted PDF documents. That used to be too difficult and expensive for me to tackle without a small army of data entry people to help do the work. Today I can point Textract OCR at it a…
I think that ChatGPT could be a big accelerator for creative activity, but I wouldn't trust any output that I've only partially verified. That limits it to human scale problems in its direct output, but there are many ways that human scale output like code snippets can be useful on computer scale data.
- Asking it to summarize text
- Using it to extract facts from text and present them in an alternative format - turning a chunk of HTML into JSON for example
- Creative writing - poems, stories etc
- Getting feedback on your own text - asking it what should be tightened up, which bits are confusing and so on
- All kinds of code generation activities