Charunthon Limseelo
Microsoft Learn Student Ambassadors
Bangkok, Thailand
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A student in Computer Engineering (International Program) at King Mongkut’s University of Technology Thonburi (KMUTT), who really got inspired about technologies, especially on Data Science and Machine Learning. Additionally, being a part of Microsoft Learn Student Ambassadors, as the young technology evangelist among big technological industries and universities partners.
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Foundry Local: Another On-device Gen AI Deployment?
Discover the capabilities of Foundry Local and explore the latest advancements in on-device generative AI deployment. Learn how this high-performance local AI runtime stack enables seamless execution of models, tools, and agents on Windows and macOS devices. From optimizing performance across CPUs, NPUs, and GPUs to leveraging edge-optimized AI Foundry models, this session will showcase practical strategies for bringing AI-powered applications to life—without relying on cloud connectivity. Join us to dive into the future of local AI and its potential for real-world applications.
How to Run Reasoning Model Based on Sustainability
This talk will introduce the concept of reasoning models and their application in sustainability analysis. We'll discuss how these models can be used to evaluate environmental impacts, explore potential solutions, and inform decision-making. We'll examine key model types, data requirements, and the challenges and opportunities of using AI for a more sustainable future.
Operating AI Agents with Azure AI Foundry and Pydantic AI
This session will introduce you to the world of professional AI Agent development using two main tools: Azure AI Foundry and Pydantic AI. You will learn how to design, build, and customize AI Agents that can work with large language models (LLMs) and efficiently connect to various services.
Local Reasoning Model Deployment with AutoGen Between Ollama and LM Studio
In this session, we will explore how to deploy local reasoning models using AutoGen for .NET, facilitating seamless interactions between Ollama and LM Studio. We’ll cover the fundamentals of setting up and configuring these tools, optimizing local inference for reasoning tasks, and leveraging AutoGen to orchestrate multi-agent workflows.
Attendees will gain hands-on experience via demonstration in integrating locally hosted LLMs for efficient, private, and cost-effective AI applications.
Developing Local AI Models with .NET and AutoGen
In this section, I would like to guide to all attendees for developing your own AI apps within local device, as using the perspectives of Small Language Model, with the integration of AutoGen: a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks, with the aid of Ollama and LM Studio.
Perspective in the world of AI through Open-Source Developers
This session will explore the unique viewpoints and contributions of open-source developers in shaping the landscape of artificial intelligence.
Open-source communities have played a pivotal role in democratizing AI, making advanced technologies accessible to a wider audience. Through discussions with experienced open-source developers, attendees will gain insights into:
1. The philosophy and motivations behind open-source AI development
2. The challenges and opportunities faced by open-source communities
3. The impact of open-source AI on various industries and applications
4. The future of AI development in the open-source ecosystem
By understanding the perspective of open-source developers, attendees will be better equipped to appreciate the collaborative nature of AI innovation and the potential for democratizing access to powerful tools and technologies.
Build your intelligent web app with Streamlit
In this session, we will explore how to build an intelligent web application using Streamlit, an open-source app framework that turns data scripts into shareable web apps in minutes. We'll cover the basics of setting up Streamlit, discuss how to integrate machine learning models, and demonstrate how to deploy a fully interactive web app. By the end of this session, you'll have the knowledge to create your own intelligent web applications with ease.
Mastering Phi-3 Experiments: Innovative Approaches with JavaScript & Ollama
Join us for an immersive session where we dive deep into the world of Phi-3 experiments, leveraging the power of JavaScript and the versatile Ollama platform. Whether you're a seasoned developer or a curious newcomer, this workshop is designed to equip you with the knowledge and skills needed to create cutting-edge applications and AI-driven solutions. In this session, participants will learn about the latest advancements in JavaScript with "Bun" and how they can be applied to Phi-3 experiments, as well as explore the potential of the Ollama platform to enhance Phi-3 projects with state-of-the-art AI models as running locally on device.
In this session, I will guide you through hands-on projects, enabling you to build practical skills and reinforce your learning. From networking with fellow enthusiasts to staying updated on the latest trends, this workshop offers a comprehensive experience tailored for anyone looking to advance their knowledge in the exciting intersection of web development and AI.
Getting into Time Series Prediction with Kusto and Azure Data Explorer
Time series analysis and prediction are powerful tools for understanding and forecasting complex phenomena. In this session, you will learn how to use Kusto to perform time series analysis and prediction on real-world data. You will explore different methods and models for time series analysis, such as decomposition, stationarity, and much more. You will also learn how to evaluate and improve the accuracy of your predictions using metrics and cross-validation. By the end of this session, you will have the skills and confidence to apply time series analysis and prediction to your own projects using Kusto and Azure Data Explorer.
Be productive on contributing community and writing a blog using VSCode and Medium
This session will guide you on bring productive on writing blog post, even using markdown with extension on visual studio code, powered with Astro to be your own web blog, and convert to HTML to Medium Website
Build intelligent apps using Azure AI Services and Machine Learning with Apache Spark
This session will explore the integration of Azure AI Services and Machine Learning with Apache Spark to build intelligent applications. I'll delve into how these services can enhance machine learning models with advanced cognitive features, such as natural language processing and computer vision, to create more dynamic and responsive apps. Attendees will gain practical insights into implementing these technologies to solve real-world problems and drive innovation in their projects.
Thai Programmer Association Community Events User group Sessionize Event
.NET Conf Thailand 2024 Sessionize Event
JavaScript Bangkok 2.0.0 Sessionize Event
Python Developer Day Sessionize Event
Global Azure 2024 – Thailand Sessionize Event
Thailand Student Developer Summit Sessionize Event
Global AI Bootcamp - Thailand Sessionize Event
Charunthon Limseelo
Microsoft Learn Student Ambassadors
Bangkok, Thailand
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