> Mikula, 33 years old, spent more than a decade selling cars and auto financing at dealerships. Now he deploys his fluency in car-dealer speak and his encyclopedic knowledge of dealer inventory to try to talk down the sticker prices.
I may be over optimistic but "car-dealer speak" sounds like something an AI could be trained on and access to inventory might be a couple of tool calls to the appropriate APIs.
I knew a dog that had a decent vocabulary. He would visibly react to words like CAR, WALK, or PARK. He also understood PARTY and MEAT and would wag his tail for PART and lick his chops to MEAT. One time we were going to a BBQ so I explained to him we were taking the CAR to a MEAT PARTY and he got super excites, wagging his tail and going to the door all while frothing at the mouth. Anecdotal but it certainly looked like he could synthesize concepts and imagine what was going to happen in the near future.
I've done a few other experiments with my foreign speaking friends and it appeared to me that dogs understand the language their owners speak primarily.
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No because programming is more than typing and more than grinding out code. It requires understanding business and creating solutions which satisfy customer needs which requires understanding of the culture. You aren’t going to get that with some remote hands code monkey.
I think they are using the LLM as few shot learner then using that to label the rest of the training data and finally using the now fully labeled data to train a more traditional supervised classifier like DistilBert.
and hybrid search:
With these two features you can set up RAG with hybrid search in about the time it takes to install the server and insert the documents.
Manticore is really performant and uses far fewer resources than similar search engines like elastic.