LLM Fine-Tuning Strategies for Domain-Specific Applications

Large language models(LLMs) are advanced artificial intelligence(AI) models engineered to understand human language as well as generate human-like responses. These are trained on a large amount of text data sets — hence the name “large” — built on a type of neural network called a transformer model. These are used in chatbots and virtual assistants, content generation, summarization, translation, code generation, etc.

A notable feature of LLMs is their ability to be fine-tuned. These can be further trained to enhance their overall performance and allow them to adapt to new, specialized domains, showcasing their adaptability and versatility.

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