A raw language model, fresh from pre-training, functions primarily as a sophisticated text continuation engine rather than a helpful assistant. The critical, often overlooked, step of fine-tuning is essential to transform these base models into capable tools that can effectively follow instructions and engage in helpful dialogue. This process imbues the model with the necessary capabilities to act as a true assistant. AI
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IMPACT Highlights the crucial role of fine-tuning in transforming base language models into useful AI assistants.
RANK_REASON This article discusses the concept of fine-tuning language models, which is an opinion piece rather than a release or research paper.
