Rick W / Friday, May 16, 2025 / Categories: Artificial Intelligence Custom Fine-Tuning for Domain-Specific LLMs 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. Previous Article Attention May Be All We Need… But Why? Next Article Clarifai 11.4: Faster Model Deployment & Inference with Python SDK Print 218 Tags: ModeModeldataBI