especially the financial sector, adherence to an ever-increasing regulatory burden is crucial. When used effectively, generative artificial intelligence , and particularly large language models , empower organisations to respond more swiftly and effectively to these requirements.LLMs are advanced AI algorithms that use neural network techniques with a vast number of parameters to process and understand human language, generally in the form of extensive passages of text.
There are multiple practical use cases for LLMs, and the applications are increasing daily as more businesses realise the power of being able to make sense of textual data. This technological advancement has been swift as processing power has become faster and cheaper and tools have become smarter and more able to make sense of a myriad textual formats, languages and contexts.
Transitioning the solution from a developer’s machine to a more controlled, often cloud-based environment is crucial for stability and scalability. Once the solution is in production, consideration needs to be given to how data may change over time, and mechanisms must be put in place to ensure that the model is running at a consistent standard.
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