LLM Deployment Pipeline
Domain-Specific Fine-Tuning:
Train large models on your organization’s data (e.g., product manuals, case histories) for better contextual responses.
Retrieval-Augmented Generation (RAG):
Build systems that retrieve and cite real-time, accurate information from knowledge bases during inference.
Low-Rank Adaptation (LoRA) & PEFT Techniques:
Use advanced fine-tuning methods that reduce training time and resource consumption while maintaining model accuracy.