Technical Talks & Workshops

Nov 24, '24 | GDG Devfest, Cebu, Philippines

This talk elaborates on the MLOps lifecycle for GenAI applications. It explores different services provided by Vertex AI, for discovery and experimentation, supervised tuning, model registration and deployments. We also touch upon model monitoring, model evaluation and grounding for ML applications. Learn more about the MLOps capabilities of Vertex AI by building your own philosopher chatbot that speaks in paradoxes.    [Slides]

Nov 23, '24 | GDG Devfest, Singapore: Gemini conference

This talk elaborates on the MLOps lifecycle for GenAI applications. It explores different services provided by Vertex AI, for discovery and experimentation, supervised tuning, model registration and deployments. We also touch upon model monitoring, model evaluation and grounding for ML applications. Learn more about the MLOps capabilities of Vertex AI by building your own philosopher chatbot that speaks in paradoxes.    [Slides]

Nov 05, '24 | Stack Developer Conference 2024, Singapore

This comprehensive workshop covers a detailed code walkthrough of building an AI agent from scratch and deploying it to production. We'll cover key concepts like RAG, and explore the design process for agents, including planning, tool design, handling agent communication, memory, evaluation, testing and observability. Attendees will get hands-on experience with both code and no-code tools to build and deploy AI agents to production using open source frameworks like LangChain and Cloud Platform tools like Vertex AI.    [Slides]

Sep 24, '24 | GDG, Singapore

Use GenAI for data cleaning, augmentation, and complex business analytics. This talk walks through GenAI capabilities for synthetic data generation, using multimodality for feature engineering and working with AI agents for data insights.    [Slides] [Demo]

Aug 30, '24 | Ernst & Young (EY), Malaysia (Webinar)

In this talk, we explore the topologies within different frameworks (LangGraph, CrewAI, MetaGpt and Autogen) and their approach to intra-agent communication. We'll delve into the strengths and weaknesses of each approach, offering a comprehensive perspective on building effective multi-agent systems.    [Slides]

Jul 26, '24 | upGrad Institute, Singapore (Webinar)

Leverage GenAI for data cleaning, augmentation, and complex business analytics. This talk walks through GenAI capabilities for synthetic data generation, using multimodality for feature engineering and working with AI agents for data insights.    [Slides] [Demo]

Jul 13, '24 | Google IO Extended, GDG Manila, Philippines

This talk dives into the fast-evolving world of AI agents and their powerful capabilities. Starting with a comprehensive introduction, it explores the core concepts involved in designing an AI agent. It also briefly covers basics of RAGs and LLMs. The talk then goes over the different agent architectures leveraging Vertex AI such as AI agent builder, native function calling and Langchain with Vertex AI, and evaluates the pros and cons of each. Finally, the talk wraps up with some real-world examples and a live demo of the AI agent builder.    [Slides]

Jun 22, '24 | Google IO Extended, GDG Cloud Kuala Lumpur, Malaysia

This talk dives into the fast-evolving world of AI agents and their powerful capabilities. Starting with a comprehensive introduction, it explores the core concepts involved in designing an AI agent. It also briefly covers basics of RAGs and LLMs. The talk then goes over the different agent architectures leveraging Vertex AI such as AI agent builder, native function calling and Langchain with Vertex AI, and evaluates the pros and cons of each. Finally, the talk wraps up with some real-world examples and a live demo of the AI agent builder.    [Slides]

Jun 19, '24 | DataScienceSG, Singapore

This talk dives into the fast-evolving world of AI agents and their powerful capabilities. Starting with a comprehensive introduction, it explores the core concepts involved in designing an AI agent. It also briefly covers basics of RAGs and LLMs. The talk then goes over the different agent architectures leveraging Vertex AI such as AI agent builder, native function calling and Langchain with Vertex AI, and evaluates the pros and cons of each. Finally, the talk wraps up with some real-world examples and a live demo of the AI agent builder.    [Slides]

Apr 18, '24 | Women TechMakers & GDG Cloud, Singapore

This talk explores the process of designing an AI chatbot using Retrieval Augmented Generation. We cover the technical components of building a RAG-powered chatbot using Vertex AI through a detailed code walkthrough. Following the walkthrough, there is a demo of the chatbot built using Vector Search and GCS. The nuances of building different kinds of knowledge bases and an evaluation framework for the decision to invest in chatbot development is also covered.    [Slides]