Customize large language models for specific domains and use cases through advanced fine-tuning techniques and optimization strategies.
LLM fine-tuning involves adapting pre-trained language models to perform better on specific tasks or domains. This includes techniques like LoRA, QLoRA, and full parameter fine-tuning.
Understanding transformer architectures and pre-training
Learning different fine-tuning approaches (full, LoRA, QLoRA)
Data preparation and dataset curation techniques
Training optimization and hyperparameter tuning
Model evaluation and deployment strategies
January 17, 2024
ai engineer
data scientist
ml engineer
2620+
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