Mew Leenutaphonginibm-watsonx-thInstructLAB and Synthethic data generation with llama3 models — extending to Thai languageWe will be using instructLAB as a tool to help generate, train, and serve models using a local MAC notebook and IBM watsonx llama3 models…Aug 6Aug 6
Mew Leenutaphonginibm-watsonx-thDeploying Your Own Embedder Model on watsonx Platform Using IBM Watson Machine Learning — featuring…In the world of Retrieval-Augmented Generation (RAG) applications, embedder models are crucial. These models convert text into dense…May 31May 31
Mew Leenutaphonginibm-watsonx-thIBM: Tuning studio and classification for Thai and English languageHarnessing IBM’s Prompt Tuning Studio for Enhanced Model PerformanceMar 3Mar 3
Mew Leenutaphonginibm-watsonx-thIBM watsonx Assistant: A Developer-Friendly Guide for decorating responsesIntroductionDec 27, 2023Dec 27, 2023
Mew Leenutaphonginibm-watsonx-thDecoding Language Barriers: A Comparative Analysis of Thai Translation Modules for Global…In the digital age, where large language models (LLMs) are revolutionizing communication, the barrier of language remains a persistent…Dec 10, 2023Dec 10, 2023
Mew LeenutaphongHow Deep learning can make people life’s more convenient during flooding in Thailand21 Sept 2022 — Kandanai LeenutaphongSep 21, 2022Sep 21, 2022
