Original): Mahendramedapati
Originally published in the direction of artificial intelligence.
Question about $ 10,000, which can submit or break the AI ​​application
Imagine: you just launched a new customer service system and your company. It took $ 50,000 to develop, it took six months and everyone is excited about the possibilities. But there is a problem – users receive terrible answers. Questions about “return principle” are asked about “product guarantees” and searches “technical support” somehow pulls marketing brochures.
The article emphasizes the key role of setting models in the applications of generation generation (RAG), warning that a poor selection can lead to significant AI performance failures. This is delved into the reasons why many implementations do not have, emphasizing the importance of context, dimensioning and alignment of the domain. It also contrasts dense and rare embedding, discusses optimal model selection strategies and solves common traps. The article ends in suggesting immediate actions that should be taken to ensure successful implementation and continuous monitoring of prisoner models.
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