Fine-tuning Language Models
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May 1, 2024
3 minute read
Fine-tuning language models (LLMs) is a technique in natural language processing (NLP) that involves modifying a pre-trained model to improve its performance on a specific task or domain. LLMs are large neural networks trained on vast amounts of text data, and they have achieved remarkable results in tasks such as text generation, machine translation, and question answering.
Why Fine-tune Language Models?
There are several reasons why one might want to fine-tune an LLM:
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