ML Training Patterns

Purpose: Provide production-ready training templates, configuration files, and automation scripts for common ML training scenarios including classification, generation, fine-tuning, and PEFT/LoRA approaches.

Activation Triggers:

• Building text classification models (sentiment, intent, NER, etc.)
• Training text generation models (summarization, Q&A, chatbots)
• Fine-tuning pre-trained models for specific tasks
• Implementing PEFT (Parameter-Efficient Fine-Tuning) with LoRA
• Setting up training pipelines with HuggingFace Transformers
• Configuring training hyperparameters and optimization
• Preparing datasets for model training