Ling HuangLarge Language Model — LLM Agents, Part 5From a single model to a composite AI AssistantJul 25Jul 25
Ling HuangLarge Language Models — Retrieval Augmented Generation (RAG), Part 7RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document ComprehensionJul 18Jul 18
Ling HuangUser Life Time ValueFor user life cycle analysis and methodology, it defines the two core goals and four levers to establish a data analysis system. It also…Jul 18Jul 18
Ling HuangMLOps — ML/DL Model DeploymentModel deployment is the process of making machine learning model accessible to someone or something else.Jul 17Jul 17
Ling HuangLarge Language Models — Retrieval Augmented Generation (RAG), Part 612 RAG Pain Points and Proposed Solutions to the core challenges of RAGJul 11Jul 11
Ling HuangLarge Language Model — LLM Model Efficient InferenceA Survey on Efficient Inference for Large Language ModelsJul 11Jul 11
Ling HuangLarge Language Model — LLM Model InfraMainstream LLM architecture Common architecture types:Jul 2Jul 2
Ling HuangLarge Language Model — LLM Agents, Part 4An AI Agent is a piece of software that performs tasks on behalf of a user. They can automate processes, make decisions, and interact…Jun 30Jun 30
Ling HuangLarge Language Models —Fine TuningTen Commandments to Deploy Fine-Tuned Models in ProdJun 28Jun 28
Ling HuangLarge Language Models — Retrieval Augmented Generation (RAG), Part 5Intro of EmbeddingJun 19Jun 19