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Explainable AI is an aspect of artificialintelligence that aims to make AI more transparent and understandable, resulting in greater trust and confidence from the teams benefitting from the AI. For instance, finance and healthcare applications may need to meet regulatory requirements involving AI tool transparency.
Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost. People who work in regulated environments (think: public sector, finance, healthcare, etc.) The haphazard results may be entertaining, although not quite based in fact. at Facebook—both from 2020.
Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. from the healthcare industry, and 3.7% (We’ll say more about this later.) from education.
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