3 ms·
It REALLY depends on the task. For instance, if you provide GPT with a schema, it can produce a complex and efficient SQL query in <1% of the time an expert cou
by elif 3y ago
It REALLY depends on the task. For instance, if you provide GPT with a schema, it can produce a complex and efficient SQL query in <1% of the time an expert could.
I would also argue that not only are the models improving, we have less than a year practically interfacing with LLM's. OUR ability to communicate with them is in infancy, and a generation that is raised speaking with them will be more fluent and able to navigate some of the clear pitfalls better than we can.
- emporas 3y agoThere is not much of a need for humans to get closer to the machine long term, when with new datasets for training the machine will get closer to humans. Magic keywords like "step by step" won't be as necessary to know. One obstacle for interfacing with LLM's is the magic cryptic commands it executes internally, but that need not be the case in the future.