![Trump Tells Cook to Stop Building iPhones in India and Build in the U.S. Instead [Video]](https://www.iclarified.com/images/news/97329/97329/97329-640.jpg)
![[The AI Show Episode 147]: OpenAI Abandons For-Profit Plan, AI College Cheating Epidemic, Apple Says AI Will Replace Search Engines & HubSpot’s AI-First Scorecard](https://www.marketingaiinstitute.com/hubfs/ep%20147%20cover.png)
![How to Enable Remote Access on Windows 10 [Allow RDP]](https://bigdataanalyticsnews.com/wp-content/uploads/2025/05/remote-access-windows.jpg)
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.
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.
