People always misuse searchengines by writing the whole questions as a search…
With ai they still can do that and get, i think in their optinion, a better result
People always misuse searchengines by writing the whole questions as a search…
With ai they still can do that and get, i think in their optinion, a better result
LLM can be used as a search engine for things you know absolutely zero terminology about. That’s convenient. You can’t ask Google for “tiny striped barrels with wires” and expect to get the explanation of resistors marking.
It sounds like you might be referring to miniature striped barrels used in crafts or model-making, often decorated or with wire elements for embellishment or functionality. These barrels can be used in various DIY projects, including model railroads, dioramas, or even as decorative items.
Reverse image search would let you find that answer more accurately than some llm
How? And don’t those image searches have LLMs under the hood?
When you see something you have no idea what it is, you just take a photo and do the reverse search, finding other similar photos and the name of the thing. You don’t even need to spend time describing what you see and won’t have a chance of getting a wrong confident answer. Reverse image search exists for more than a decade and don’t use llms
ML is ML. No matter if it is LLM or not. And the question “What is this thing?” covers a negligibly tiny percent of search requests.
It’s not all the same. Application-specific ml models tend to be much smaller and demand much less resources than llms. They also tend to be more precise.
I was just addressing the given example