AI Fundamentals: Building a Strong Foundation
AI is changing how we work, build products, and solve hard problems. But with new models, tools, and buzzwords landing every week, it's hard to know where to start.
AI Fundamentals is a community event co-hosted by OpenBox AI and KRNL for founders, builders, students, and professionals who want a practical understanding of modern AI.
An evening of talks, open discussion, and networking covering the ideas behind today's AI landscape, from foundation models and AI agents to how they're actually being used across industries.
Spinach pie, fried chicken mini burgers, matcha roll cake, and assorted Thai sweets. Drinks too. All on us.
What you'll learn
The core AI concepts everyone should know
How modern AI models and agents work
Where AI is being applied in business and day-to-day workflows
The trends shaping what comes next
Live Q&A with the speakers
Who should attend
Founders and operators trying to work out where AI fits in their product or business
Engineers and builders who want a clearer picture of how models and agents actually work
Students and career switchers looking for a solid starting point
Product, design, and ops people who work alongside AI teams and want to speak the same language
Anyone who has been reading about AI for months and still wants the ground-level version
No prior machine learning experience needed.
Speakers
Sharon Sethi
AI Agent Orchestrator at Yaru.ai, where she builds AI agents and systems and threads AI through the whole workflow, from deployment to analytics and tracking. First Class Honours in Robotics and AI Engineering from KMITL. She also runs workshops teaching non-developers how to build businesses with AI.
Pakawat Phasook
AI Engineer Team Lead and Product Owner at QuanXAI. Pakawat was on the core LLM team behind OpenThaiLLM and Pathumma LLM at NECTEC, and has worked as an AI Research Scientist at Cariva and Senior AI Engineer at Bangkok Silicon. Research assistant at KMUTT and Peking University.
Chompakorn Chaksangchaichot
CEO and Head of Data Science at VISAI.AI, with over five years in AI and machine learning. He is building FourCorners, a legal AI platform for Thai law, and his research covers how well language models handle Thai legal reasoning.
Etienne Mueller
Assistant Professor at CMKL University (Carnegie Mellon University Thailand). Neuromorphic computing, spiking neural networks and computational neuroscience. PhD at TUM with Infineon, postdoc at Melbourne, previously Infineon and BMW Group.
About the hosts
OpenBox AI builds runtime governance for agentic AI systems. The platform sits in the path of agent execution, enforcing policy, scoring behaviour against OWASP-based risk criteria, and producing signed audit trails, so teams can ship agents into production and prove what they did.
Learn more at openbox.ai
KRNL is a plug-and-play protocol that extends enterprise systems with secure, cryptographically verifiable access to external APIs, AI systems, blockchain data, and traditional business applications. Every workflow step is executed off-chain in an isolated sandbox, cryptographically signed, timestamped, and delivered with a verifiable proof, enabling your systems to confirm authenticity before any state change, payment, or compliance action occurs.
Learn more at krnl.xyz
Come whether you're just starting out or filling in gaps in what you already know.