James NguyeninData Science at MicrosoftToward learning-capable LLM agentsPresenting the concept and design principles behind developing LLM agents that possess the capability to learn11 min read·Apr 16, 2024--1--1
James NguyeninData Science at MicrosoftForget RAG: Embrace agent design for a more intelligent grounded ChatGPT!The Retrieval Augmented Generation (RAG) design pattern has been commonly used to develop a grounded ChatGPT in a specific data domain…6 min read·Nov 18, 2023--21--21
James NguyeninData Science at MicrosoftAutomating data analytics with ChatGPTAs an AI language model, ChatGPT is becoming well known for its ability to generate text-based responses to given prompts and contextual…13 min read·Jul 4, 2023--6--6
James NguyeninAnalytics VidhyaTeaching Machine Learning System Efficiently with Active Learning5 min read·Mar 29, 2022--1--1
James NguyenImplementing Many Models at Scale with Spark 3.x (Databricks/Synapse) and Azure MLThere are many scenarios where we need to build and run a large number of machine learning models. For examples: in Retail where a separate…7 min read·Jun 23, 2021--1--1
James NguyenBest practices in Enterprise Data Science governance in AzureNow that your enterprise data science is on Azure, you can take advantage of cloud agility and a set of great tools to improve development…12 min read·Feb 19, 2021----
James NguyenDirectly Reading Delta Lake Data from Azure SynapseAzure Databricks and Azure Synapse Analytics are two flagship big data solutions in Azure. Many customers use both solutions. Databricks…5 min read·Oct 4, 2020--3--3
James NguyeninAnalytics VidhyaLeveraging Spark for Large Scale Deep Learning Data Preparation and InferencingWhile it has been been know training a Deep Learning model requires lots of data to produce good result, rapidly growing business data…8 min read·Sep 16, 2019--2--2
