AI events in Singapore 🇸🇬

By Gabriel, Zahari & Teng Fone ✌️ 

Singapore AI Events

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Fabric Ventures Events Calendar

Web3 meets AI by Fabric VC, Near Protocol, Backed VC, Aethir, Caladan and RSS3 | Token2049 🇸🇬

Madvi

Soledad Contreras

Mack Lorden

Raghav Aggarwal

Anastasiia Gergun

Anchal Taatya

Cedric

Jasper Zhang

Wu Blockchain@Lyon

Rohit Chauhan

Danielle Walsh

Eleanor Hudson

Ian Emerson

Welcome to **GenAI Nexus: Uniting Knowledge Graphs and LLMs**, an exclusive event that brings together the best of AI innovation. This gathering is designed for AI professionals, researchers, and enthusiasts eager to explore how the convergence of Knowledge Graphs and Large Language Models (LLMs) is transforming the landscape of intelligent applications.

**The agenda of the evening would be:**
\- 6pm: doors open
\- 6\.30pm: announcements and welcome
\- 6\.40pm: 1st Talk
\- 7\.10pm: 2nd Talk
\- 7:40pm: Networking
\- 8\.10pm: doors close

**Speaker:**
🎤 Tomaz Bratanic, GenAI Researcher @Neo4j
**Talk topic :** "Building Knowledge Graphs with LLMs"
**Description :** In this talk, we will explore the process of building knowledge graphs using Large Language Models (LLMs). We will delve into the techniques and tools necessary to extract, organize, and connect information from diverse data sources. Additionally, we will share practical learnings and real-world examples to illustrate how these methods can be effectively applied to enhance data-driven decision-making and innovation.
**Bio :** Tomaz Bratanic has extensive experience with graphs, machine learning, and generative AI. He has written an in-depth book about using graph algorithms in practical examples. Nowadays, he focuses on generative AI and LLMs by contributing to popular frameworks like LangChain and LlamaIndex and writing blog posts about LLM-based applications.

🎤 Maruthi Prithivirajan, Founder @Typeless
**Talk topic :** "Unifying Multi-Modal RAG with Knowledge Graphs"
**Description :** In a world where information comes in diverse formats, building a unified Retrieval-Augmented Generation (RAG) system across multiple modalities can be complex and time-consuming. This session dives into how Knowledge Graphs can streamline the process, making it easier to integrate multi-modal data for more effective and accurate RAG systems.
**Bio :** Maruthi is a seasoned technology leader with over 15 years of experience designing and developing data solutions for Fortune 500 companies. His expertise lies in addressing complex business challenges through innovative data strategies.
Currently, Maruthi is the Founder of Typeless, an early-stage startup at the forefront of Generative AI innovation. Typeless focuses on two key areas:
\- Developing cutting\-edge Generative AI SaaS solutions
\- Providing bespoke consulting services to enterprises to facilitate the adoption of Graph and Generative AI technologies
With his extensive background in data solutions and his current work in emerging AI technologies, Maruthi brings a unique perspective on the intersection of business needs and technological advancements.

**Interested to speak at this or future meetups? Fill this form:** [https://dev.neo4j.com/submit-your-talk](https://dev.neo4j.com/submit-your-talk)

Join us at **GenAI Nexus: Uniting Knowledge Graphs and LLMs** and be part of the conversation that’s shaping the next generation of intelligent AI systems!

GenAI Nexus: Uniting Knowledge Graphs and LLMs

Community of 1,300+ Generative AI startup founders, product/tech leaders, data scientists, and researchers in Singapore / South-East Asia.

The Generative Beings

Winning pricing models for generative AI startups | TGB x Stripe x Antler

Shivang Gupta (TGB)

Soumitra Miraj

Yina Chan

Antler Southeast Asia

KryptoPlanet will be all over the world hosting builder friendly events! Here are the ones in 2024. 

KryptoPlanet 

Open Source AI Summit Singapore

Adonis Cyril

Blingoh

Petros

Chris Price

BobJaeger

Kevin Lur

PINTU

Pond

smac

Erica Kang

Kun Peng

Agents Unleashed

Agents Unleashed: Night at the Museum | TOKEN2049 | Breakpoint

dawgctor.eth

Soona

Denrei Keith De Jesus

Viktor Olofsson

Maximilien Petit

Mik Mironov

Vibhuti Nageshwar

Ralph Pahlmeyer

David Minarsch

Happy Hour Gathering - Startup/ Tech/ AI/ Web3.0  20 Sep Fri

Large language models (LLMs) fine-tuning workshop

Empowering Minds - The Future of Education with AI

Machine Intelligence Meets Human Ingenuity

Electric Minds

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Manisha Sadhwani

Tina

daphne

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SDSC Industry Demo Day & Panel Discussion 2024

Tech in Asia

Tech in Asia x Figma - Leadership Collective: Building at Scale

## Details

Get ready for an exciting and informative evening at our September 2024 meetup! We’ve got two awesome sessions lined up to help you boost your skills and productivity with the latest Microsoft tech.
🎟️ **RSVP**:Meetup.com or [Konfhub](https://konfhub.com/acs-ms-azure-ai-september-2024-meetup-nigelfrank-wework-funan)
**Session 1: Azure AI Services and Copilot for Microsoft 365 Demos**
In this session, Vincent Kok will demonstrate how Azure AI Services empowers developers to build cutting-edge applications with out-of-the-box and customizable APIs and models. Plus, don’t miss our showcase of Azure OpenAI Service, where you can create your own generative AI applications. As a bonus, we’ll dive into Copilot for Microsoft 365 demos, demonstrating its magic across different scenarios.
***Session 2: To be announced...***
🍕 **Refreshments and Networking**
🎁 **Giveaways/Prizes**
📌 **Important Notes:**
\- This event is open to everyone interested in Microsoft Azure\, AI Enthusiast\, Developers
\- Location notes: Take the lift to **Level 5 from the opposite of Superdry** **Funan**

**RSVP and Registration are required, and space is limited, so reserve your spot now!**

Join us for an evening of insightful discussions, networking, and learning. See you there!
#AzureCommunity #Meetup #TechEvent #microsoftdotnet #dotnet#MVPBuzz

September 2024 Meetup @WeWork Funan | Copilot, Azure AI, F5

For the coming September DataScience SG Meetup, we have Research Scientists from Rakuten sharing with us more of their work in Language Models Here are the details!

**Agenda**
6.30pm - 7.00pm: Registration
7.00pm - 7.30pm: Improving Large Language Models with Preference Optimization.
7.30pm - 8.00pm: Overcoming Challenges in Building an Open-Source Japanese LLM
8.00pm - 8.30pm: Parameter-Efficient Fine-Tuning for Large Language Models

**Synopsis**

**Session 1:** Improving Large Language Models with Preference Optimization.
Speaker: Alberto Poncelas

Abstract
Large Language Models (LLMs) have quickly become part of our everyday interactions, making it essential for them to accommodate user preferences. Reinforcement learning helps achieve this by training models to choose the most appropriate response from various options, creating smoother, more engaging conversations. In this talk, we will demonstrate how preference optimization with RakutenAI-7B can enhance tasks like English-Japanese translation.

**Session 2:** Overcoming Challenges in Building an Open-Source Japanese LLM
Speaker: Johanes Effendi

Abstract:
We will share the journey behind developing Rakuten's open-source large language model (LLM) tailored for the Japanese language, emphasizing the technical challenges and solutions we encountered. We will explore the process of training the model, designing an extended tokenizer optimized for Japanese, and curating high-quality training data. Additionally, we will highlight the strong performance of Rakuten AI 7B, which ranks among the top open Japanese LLMs, and its release to the open-source community.

**Session 3:** Parameter-Efficient Fine-Tuning for Large Language Models
Speaker: Maksim Tkachenko

Abstract:
Large Language Models (LLMs) have demonstrated remarkable performance across a wide range of natural language processing tasks, but their size and complexity present challenges for fine-tuning in specific applications. Parameter-efficient fine-tuning techniques aim to address these challenges by optimizing only a small subset of the model's parameters, significantly reducing computational and memory costs. This approach makes it possible to fine-tune large models even on consumer-grade accelerators. This talk will focus on, probably, the most popular method of parameter-efficient fine-tuning, Low-Rank Adaptation (LoRA), discussing its mechanics, efficacy, and related insights.

**Speaker Bio**

o **Alberto Poncelas** is a research scientist at the Rakuten Institute of Technology. His research focuses on natural language processing (NLP), with a particular emphasis on machine translation. He holds a PhD in Machine Translation from Dublin City University in Ireland and an MSc in Machine Learning from the University of the Basque Country. He has also worked as a software and big data engineer.
https://www.linkedin.com/in/albertoponcelas/

o **Johanes Effendi** is a Research Scientist at the Rakuten Institute of Technology. He earned his PhD and master's degrees from the Nara Institute of Science and Technology (NAIST), Japan, where he developed approaches for semi-supervised speech processing and analytics. Prior to that, Johanes worked as a Mobile Application Engineer at Tokopedia in Indonesia. Currently, he is working on self-supervised approaches for natural language generation at Rakuten.
[https://www.linkedin.com/in/johanes-effendi/](https://www.linkedin.com/in/johanes-effendi/)

o **Maksim Tkachenko** is a Research Scientist with Rakuten Institute of Technology. He served as a data science and operations research advisor at FedEx Express and as a research scientist at the School of Computing and Information Systems, Singapore Management University, where earlier he earned his PhD. His research focuses on text mining and natural language processing at Rakuten.
[https://www.linkedin.com/in/maksim-tkachenko/](https://www.linkedin.com/in/maksim-tkachenko/)

***In-person registration details:***
We will have someone at the CapitaGreen Building lobby to give out temporary passes. The attendees will need to take the lift up to level 19 event space.

Rakuten X DataScience SG

**Register your interest now: [bit.ly/gdgsg-sep24-ai](bit.ly/gdgsg-sep24-ai)**
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**Learn to Build Generative AI Agents on Google Cloud.**

Join us to advance your cloud development skills. You will learn how to build Generative AI Agents using Google Cloud's latest technologies.

Gain hands-on experience building applications with Google Cloud technologies, such as the Gemini API, Vertex AI Agent Builder, and more.

These workshops are ideal for developers who want to create Generative AI agents and are familiar with Vertex AI, Generative AI, Python, and LangChain.

Secure your spot for either session. See you there!

Generative AI in Action Roadshow

Introduction to AI image generators + design your own AI t-shirt workshop

IMDA Technical Sharing Session on Agentic AI - 30 September 2024

We are thrilled to invite you to our in-person Meetup in Singapore featuring Kong's CTO and Co-Founder, Marco Palladino!

Kong makes connecting APIs and microservices across today’s hybrid, multi-cloud environments easier and faster than ever.

We power trillions of API transactions for leading organizations globally through our end-to-end API platform.

**When**
September 30, 18:30 - 21:00

**Where**
Room 17G
5 Temasek Boulevard, 17th Floor Singapore 038985

**Agenda**
18:30 - 19:00 Food & drinks, welcome & introduction
19:00 - 19:30 API Summit Updates and Recap

* Key highlights from the recent API Summit
* Discussions on major trends and insights, including advancements in API security, management and new technologies

19:30 - 20:15 The Future of APIs and AI

* How APIs and AI are shaping the future of business
* Deep dive into Kong AI Gateway
* Real-world use cases and demonstrations

20:15 - 20:30 Q&A and discussion
20:30 - 21:00 Networking

See you there!
Kong Community Team

**Speakers**
*Marco Palladino (Co-founder and CTO at Kong)*
Marco Palladino is an inventor, software developer and Internet entrepreneur based in San Francisco. As the CTO and co-founder of Kong, he is Kong’s co-author, responsible for the design and delivery of the company’s products, while also providing technical thought leadership around APIs and microservices within both Kong and the external software community. Prior to Kong, Marco co-founded Mashape in 2010, which became the largest API marketplace and was acquired by RapidAPI in 2017.

*Robin Cher (Senior Solutions Engineer, Kong)*
Robin is passionate about all things regarding cloud connectivity and platform engineering. He worked closely with customers in designing their next-gen platform powered by Kong.Prior to Kong, Robin held platform engineering roles at companies such as DBS, GovTech SG and Thales Airlab. He holds a Master’s Degree in Technology from National University of Singapore and a Bachelor’s degree in Information Systems from Singapore Management University.

Meetup - Exploring the Future of API Management & AI

Happy Hour Gathering - Startup/ Tech/ AI/ Web3.0  2 Oct Wed

AWS Public Sector Day ASEAN