Large Language Model Operations (LLMOps)
Operationalizing large language models for production environments.
Chapter 44: Fine-Tuning LLMs Adapters, LoRA Full fine-tuning Efficient fine-tuning for foundation models (New subtopic) Tools: Hugging Face Transformers, DeepSpeed Chapter 45: Prompt Engineering in Production Prompt templates Chain-of-thought prompting In-context learning Evaluation: BLEU, ROUGE Chapter 46: LLM Monitoring and Safety Hallucination detection Bias monitoring Content filtering Tools: NeMo Guardrails, Llama Guard Chapter 47: Scalable LLM Inference Model parallelism, quantization Batching Frameworks: vLLM, TGI (Text Generation Inference)