Category: Generative AI
-
Advanced Certification in GenAI
Having engaged extensively with the technical dimensions of GenAI, including participation in an LLM fine-tuning competition, the next step is to delve deeper into GenAI Governance, with a particular focus on Responsible Use and Ethical Management of GenAI. This course from SMU Academy offers valuable insights in these areas, and I highly recommend it.
-
AWS Singapore Nationwide LLM Finetuning Competition
Grateful and humbled to share that I have made it to the Grand Finale of the AWS Singapore Nationwide Competition for the second year running! Last year, I finished 8th in the AWS DeepRacer competition, and this year, I placed 7th out of over 2,100 participants in the LLM Fine-Tuning competition. It has been an…
-
The future of FinOps is GreenOps?
I had a great dinner with my ex-colleague, BW just a couple of hours ago. He wanted to thank me for writing a testimonial for him as well as being his character reference. He was very happy that he finally had a job offer. That was too kind of him. I told him that while I…
-
Using AWS PartyRock to create AWS Certification Advisor app
During the Architecture Guild, I demonstrated how easy it is to use AWS PartyRock, a no-code tool to build GenAI app, to create the AWS Certification Advisor app within 5-10 mins. This short guide shows the step-by-step guide to create this app. You can access the app at PartyRock | AWS Certification Advisor. About the…
-
Generative AI – Intermediate
In this session, we will begin with a Recap of the previous session in May, summarizing key takeaways and setting the stage for the topics ahead. I will talk about the architecture of Neural Networks – how they learn from large volumes of data and delve into techniques to improve Foundation Models (FMs), upon which…
-
Generative AI Fundamentals
This session will introduce the fundamentals of Generative AI, explaining how it differs from, as well as how it complements traditional discriminative models in machine learning. I will start by defining key concepts in generative modeling, showing how these systems learn underlying patterns in data to create new outputs such as text, images, or music.…