Python, LLM-based systems, AI development stacks, retrieval-augmented generation, LLM alignment, AI risks governance frameworks, compliance requirements, prompt engineering

tokenization , Pytorch, Jax, Deep Learning, Nlp, LLM Pretraining, Foundation Models, Transformer Architecture, Scaling Laws, Distributed Training, Large Language Models, Model Architecture, Megatron, DeepSpeed, GPU Cluster, Machine Learning Research, Llm

Machine Learning, Deep Learning, Pytorch, Python, evaluation methodologies, agentic AI, human evaluation, benchmark design, LLM-as-a-Judge, trajectory-based evaluation, context engineering, AI research, LLM training, SFT preference optimization