AI Practice

Building a Better RAG Pipeline for HR Policy Q&A: What Worked and What Didn’t
The Studio

Building a Better RAG Pipeline for HR Policy Q&A: What Worked and What Didn’t

We tested the most effective approaches.
LLMs

“The Bots Are Here. Now What?” How Knowledge Management Became the Key to Powering GenAI Solutions

Available LLMs are powerful enough. What we are missing is the knowledge to fuel them.
General

Does your LLM know when to say “I don’t know”?

Refusal by a model to answer may sometimes be more valuable.
Responsible AI

Fine-Tuning Language Models for Long-Context Data: Automated Stance Analysis of Citizen Discussions

Addressing technical challenges of processing high-volume public feedback for policy-making
Responsible AI

MLOps Transformation: Moving from Stage 0 to Stage 3 (Part I)

Much a cultural shift as a technical one.
Machine Learning

Evaluating MOE’s SLS Learning Assistant: Using Synthetic Data and LLMs to Benchmark Faithfulness and Factuality

Safer, faster testing of student-facing AI before real-world deployment.
General

From Infrastructure to Intelligence (Part 1): Strategic Foundations for AI Model Hosting and Agent-Based Architectures on the Cloud

What began as simple chatbot prototypes has evolved into full-fledged agent architectures.
Infrastructure

Securing Guardrails with Automated Red Teaming

Manual testing is no longer scalable.
Responsible AI
The Lab

(Part 2) LLM Safety Alignment for the Singapore Context using Supervised Fine-tuning and RLHF-based Methods

Safety must be "baked in".
Responsible AI
The Lab

(Part 1) LLM Safety Alignment for the Singapore Context using Supervised Fine-tuning and RLHF-based Methods

The process of "teaching" models to be safe
Responsible AI
The Lab

Eliciting Toxic Singlish from r1

A red-teaming exercise that proves even "reasoning" models can be coaxed.
Responsible AI
What School Didn’t Teach Me
The People

What School Didn’t Teach Me

5 Lessons from My GovTech Internship