Intorduction to LangMem

Hong-Wei Wu published on 2025-05-06 included in category Other Topics

Explore the core concepts of Agent Memory (Semantic, Episodic, Procedural) for LLMs. Learn practical implementation of long-term agent memory using LangGraph & LangMem, based on DeepLearning.AI course notes, with a detailed Email Agent example.

HuatuoGPT-o1: Towards Medical Complex Reasoning with LLMs

Hong-Wei Wu published on 2025-01-31 included in category Paper Introduction

Understand how to train an o1-like model on specific domain

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Hong-Wei Wu published on 2025-01-27 included in category Paper Introduction

Dive into the HuggingGPT paper, a key work on LLM Agents. Discover how an LLM acts as a controller for task planning and tool usage to solve multi-modal and complex AI challenges.

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Hong-Wei Wu published on 2025-01-26 included in category Paper Introduction

LLM Agent for Multi-Table QA Task

RAFT: Adapting Language Model to Domain Specific RAG

Hong-Wei Wu published on 2024-10-31 included in category Paper Introduction

RAFT paper analysis: Learn how to train LLMs for Domain-Specific RAG, combining external documents with internal knowledge to boost specialized domain QA performance.

REPLUG: Retrieval-Augmented Black-Box Language Models

Hong-Wei Wu published on 2024-10-31 included in category Paper Introduction

Explore how Retrieval-Augmented Generation (RAG) enhances black-box LLMs. This article details the NAACL 2024 paper REPLUG, discussing its innovative methods for Inference and Training stages to improve LLM answer quality and effectively reduce hallucination.

Python's Small Integer Cache: Faster Code with a Hidden Trick

Hong-Wei Wu published on 2024-10-03 included in category Python Tutorial

Discover Python's Small Integer Cache! Learn how Python optimizes common integers (-5 to 256) for faster performance and efficient memory use. Simple examples included.