Testing out this AI Agents roadmap: Level 2.4 (MemGPT, Agent memory)The difficulty level keeps increasing towards the ending of this level 2. We will discuss how to offload memory management to LLM, MemGPT…Aug 6Aug 6
Testing out this AI Agents roadmap: Level 2.3 (Agent conversation design patterns)Continuing from last level 2.2, which constructs a simple AI Agent, we will then explore agent conversation design patterns in this course:Aug 3Aug 3
Testing out this AI Agents roadmap: Level 2.2 (Constructing autonomous AI Agent manually)Following the series of testing out a Linkedin AI Agent roadmap, we are now on the track of developing autonomous AI Agents from scratch…Aug 2Aug 2
Testing out this AI Agents roadmap: Level 2.1 (Introduction to AI Agents and Agent framework)If you have not yet had quite a solid foundation on GenAI and RAG, I suggested going through this level 1 summary here to build the…Jul 31Jul 31
Testing out this AI Agents roadmap: Level 1 (GenAI and RAG foundation)On a sunny day, I came across this Linkedin post of building AI Agents in 6 months by chance. I gave the suggested roadmap in this post a…Jul 29Jul 29
Retrieval Augmented Generation (RAG) basicsRAG application consists of 3 main components:May 10May 10
Text processing checklist for NLPNote: The exact steps may vary depending on the task (e.g., sentiment analysis, chatbot, translation). Here are all common steps in text…Apr 3Apr 3
Machine Learning 101 P23: Feature ExtractionLet's move onto a real interesting part: Dimensionality Reduction. It refers to techniques of reducing number of features without losing…Mar 4Mar 4
