Challenges of multi-task learning in LLM fine-tuning
Large language models (LLMs) have changed the way we approach natural language processing (NLP) tasks. Their ability to handle diverse, complex tasks makes them vital in AI apps, translating and summarising text. However, multi-task learning poses unique challenges with LLMs, especially in fine-tuning. Multi-task learning can be a game-changer. It allows a single model to... Read more » The post Challenges of multi-task learning in LLM fine-tuning appeared first on Internet of Things News.
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Large language models (LLMs) have changed the way we approach natural language processing (NLP) tasks. Their ability to handle diverse, complex tasks makes them vital in AI apps, translating and summarising text. However, multi-task learning poses unique challenges with LLMs, especially in fine-tuning. Multi-task learning can be a game-changer. It allows a single model to... Read more »
The post Challenges of multi-task learning in LLM fine-tuning appeared first on Internet of Things News.
