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Fine-Tuning LLMs vs Using General LLMs: Which Should Your Product Use?
Fine-tuning an LLM is the process of taking an already trained foundation model, such as Llama, Mistral or GPT and continuing its training on a smaller, task-specific dataset so the model permanently learns your domain, tone and output format. A...
