Pre-training
What is Pre-training?
Pre-training is the process of building foundational AI capabilities through extensive initial training. In AI automation, pre-trained models provide a strong starting point for specific applications.
Pre-training helps in leveraging existing model capabilities effectively while knowing when additional training is needed.
Why is Pre-training important?
Pre-training significantly reduces the time and resources needed to develop AI solutions. For businesses using Lleverage, pre-trained models offer sophisticated capabilities out of the box, which can then be customized for specific needs. This approach makes advanced AI automation more accessible and cost-effective.
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How you can use Pre-training with Lleverage
A legal tech company uses Lleverage to build contract analysis workflows. They leverage pre-trained language models that already understand general language patterns, then fine-tune them for legal terminology and contract structures, significantly reducing development time.
Pre-training FAQs
Everything you want to know about
Pre-training
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Pre-training builds general capabilities on large datasets, while fine-tuning adapts these capabilities to specific tasks.
Pre-trained models offer sophisticated capabilities without the need for extensive training resources, reducing development time and costs.
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