How to Fine-Tune Large Language Models

Harshini Chakka

Discover how fine-tuning large language models can enhance accuracy for specific applications and industries.

Start with data preparation. Curating a high-quality, relevant dataset is key to effective model tuning.

Adjust model architecture and hyperparameters to balance performance with computational efficiency.

Implement transfer learning to leverage pre-trained models, significantly speeding up the tuning process.

Use evaluation metrics and testing to validate model improvements and ensure desired outcomes in deployment.

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