 
                Fine-tuning a large language model (LLM) is the process of taking a pre-trained model — usually a vast one like GPT or Llama models, with millions to billions of weights — and continuing to train it, exposing it to new data so that the model weights (or typically parts of them) get updated.

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                                        Max Headroom                     
                                                                                                                                                                                                            



 
                                                                                                                                                                                                             
                                             
                                             
                                             
                                             
                                             
                                             
                 
                 
                 
                 
                