Out of curiosity would it be accurate to call this sort of technology generative ai, or just machine learning? Or it depends on the implementation?
I feel like most of the anger around ai is because gen ai has a bunch of harmful baggage, and I’m curious if this is an example of gen ai having a productive use case, or an example of ai being more useful outside of gen ai specifically
Based on their explanation, this is still using genAI. They talk about pre-processing the data and chunking it before it’s sent to the inference model.
That’s just how LLMs read data, it could just be for a text search. The problem is where that data came from, if they’re outputting text from it, if they’re getting people to trust that output, and if they’re getting kickbacks from Nvidia for it.
Out of curiosity would it be accurate to call this sort of technology generative ai, or just machine learning? Or it depends on the implementation?
I feel like most of the anger around ai is because gen ai has a bunch of harmful baggage, and I’m curious if this is an example of gen ai having a productive use case, or an example of ai being more useful outside of gen ai specifically
Based on their explanation, this is still using genAI. They talk about pre-processing the data and chunking it before it’s sent to the inference model.
That’s just how LLMs read data, it could just be for a text search. The problem is where that data came from, if they’re outputting text from it, if they’re getting people to trust that output, and if they’re getting kickbacks from Nvidia for it.