Computation

Dance Health & Wellness Club Club Membership $130/month entitlement for one class Free 課堂模式 Class Format 45 min 主題舞動 Class Movement 15 min 伸展按摩 Stretch & Massage

Hong Kong's longest running open mic! Put your name on the board at the venue to perform. Free to watch, and all performers get a free drink. Dave Chappelle once performed here and described the room as "cool"!

**LSS Smart Fitness 律動班系列** Wanchai/Jordon/Zoom Zoom Class $80/ 30-45min class ($200 /4-class) In-person Class $100/ 1-hr class ($320 /4-class) RSVP : WhatsApp 65230389 **Vibration x Yoga 律動瑜伽 (Mon 10pm)** (Yoga Asana in vibration setting) **Vibration x MFR 療癒律動 (Tue 10am)** (Relax, Muscle release & Facial massage) **Vibration Fitness (Stretch & Strength) 健體律動 (Wed 10am )** (Flexiband) **Vibration x BellyFit 美型律動 (Thu 10am)** (Body Shape-up with Bellydance Technique Drills) https://eshop.cosway.com.hk/ First time FREE trial with any Cosway purchase receipt under introducer code : HK370579 憑任何以 HK370579 作介紹人的 Cosway (網購或門市)購物收據，可免費試上律動班系列一節

Join us for a fun run on Monday night run along the waterfront. The She Runs Collective is a supportive community centred on female health, inclusivity, and empowerment. Every week, we come together for a short run where ALL women are welcome, regardless of ability. No one gets left behind! 🏃‍♀️💪 Our dedicated captains will lead the run, and the event is suitable for runners at all levels. Meeting time: 19:30 Duration: 1h30m Meeting point: THE STATION - 18 Upper Station Street. Sheung Wan. Route: THE STATION < > Central Promenade Distance: 2km - 4km Bag Drop: Available More info: www.instagram.com/she.runs.collective

為成年人而設計的書寫旅程 每天看著已經設計好的點子，然後花幾分鐘執行。 **寫一句真話，而不是寫一篇分析** 這次旅程使用結構化的書寫提示與主題設計，讓你進行更深的自我反思，**不需要有任何書寫經驗。** *參加流程* 1. 報名表格[https://www.celinacares4you.com/selfhelp/12daysjournaljourney-chi](https://www.celinacares4you.com/selfhelp/12dayjournaljourney-chi) 2. 定時每日收到書寫點子，照樣執行就可以 3. 額外服務: +$200 包含15分鐘電話諮詢 + PDF 詳細輔導員回饋分析，度身訂造繼續自我探索的方向 (心理學基礎：接納與承諾治療 (ACT)，心理劇，敘事治療 4. 梳理情感想法，不被自己的固有模式蒙蔽自己! 5.

Tennis Coach, Terry Wong 2018 Champion of Hong Kong Corporate Cup, 2016 & 2017 Champion in Singles and Doubles of Prudential Tennis Cup, Captain of local league team in grade A+, Captain of universities cup team, ITF Certificate of Tennis Coach, Over 10 years experience in coaching. I have taught many beginners, intermediate and advance level of players and they appreciated my coaching and learned a lot from the lesson. So I am looking forward to see you in my lesson. I could provide the balls and some rackets with different weight. 💥 Topics: Forehand, Backhand, Serve, Receive and Volley. Advanced skills in the future: Smash, Half Volley, Dry Volley, Drop and Lob, Slice, Running shot, Passing shot etc. ★★PLEASE let me know through Whatsapp or Calling before u sign up or RSPV and my HK number is 93798380. Otherwise, the chance of attendance will be passed to the one who did say hi to me first. Lastly, remember to let me know 24 HOURS before the Meetup if you will be late or can't attend. Otherwise, the one who absent without notice would be blacklisted and not welcome to join this Meetup anymore. Cheers, Terry Wong

有時候，會想找陌生人談談，可以是工作、家庭、情感，互為樹洞，互相取暖。 認識一個人，聽一個故事。

Feel free to join if you are interested in low level computer stuff. If you have any cool projects or ideas you wanna share, bring them along

Unlike the usual BYOB format of this group, this is an **assigned reading format.** **You are expected to have read some of the book** to join the discussion :) About the book: # Get an accessible introduction to quantum computing as a mathematician explains quantum algorithms, quantum entanglement, and more. Quantum computing is a beautiful fusion of quantum physics and computer science! Quantum computing incorporates some of the most stunning ideas from 20th-century physics into an entirely new way of thinking about computation. Here,Chris Bernhardt offers an introduction to quantum computing that is accessible to anyone comfortable with high school mathematics. A mathematician himself, Bernhardt simplifies the mathematics and provides elementary examples that illustrate both how the math works and what it means. Find us on Whatsapp (admittedly we are kinda quiet): https://chat.whatsapp.com/GanDITsKDHK2XEjY4HVdRP Note: \*\*\*location subject to change\*\* but we'll keep it nearby. \*You **must** buy something at the venue. \*\*\* First timer attendees \*\*are requested to contribute 20HKD to fund the Meetup Group Subscription. \*No-Shows make the host sad (please update your attendance)

Date: 11 July 2026 (Sat) Time: 16:00 - 19:30 \*HKT Coordinator: Alex Au **Light Refreshments & Pizza Night will be available!** **Please fill in the registration form at https://forms.gle/yrCHQKba1FKYmmJX8 for University Entrance QR Code.** LLM apps are easy to demo, but hard to debug. A chatbot gives a confident but wrong answer. A RAG pipeline retrieves the wrong context. An agent calls the right tool with the wrong argument. An evaluator says “pass”, but everyone in the room knows something is off. So where did things go wrong? In this HKPUG meetup, Tarun will introduce **Opik** and show how traces, spans, evaluations, datasets, and feedback loops can help developers debug LLM applications more systematically. After the talk, we will run a short mini workshop. Participants will inspect simplified Opik-style traces, discuss the clues, find the failing span, and decide what evaluation should be added to prevent the same issue from coming back. Finally, we will launch a **one-month Kaggle challenge** on the explanability of LLM using Opik! **Speaker** **Tarun Jain** Tarun is a Founding Engineer, and Content Creator at AI with Tarun. He is also a Google Developer Expert AI. He was a maintainer to open source AI projects like OpenAGI and BeyondLLM and has spoken at international conferences. Tarun enjoys building intelligent systems, knowledge graphs, and long term memory solutions for AI agents. Linkedin: [https://www.linkedin.com/in/jaintarun75/](https://www.linkedin.com/in/jaintarun75/) **What you will learn** * How to debug LLM apps beyond simply saying “the model is bad” * How traces and spans help reveal what happened inside a RAG or agent workflow * Common failure modes: bad retrieval, weak prompts, wrong tool calls, hallucination, evaluator bugs, and privacy/safety issues * How to turn bad answers into useful evaluation cases * How the mini workshop connects to the upcoming Kaggle-style challenge **Format** This meetup is part talk, part debugging game. Tarun will first introduce Opik and the core ideas behind LLM observability and evaluation. Then we will work through a few “broken bot” cases together. Each group will inspect the trace, identify the suspicious span, and explain what they think went wrong. No deep machine learning background is required. Curiosity and debugging instinct are enough. **Mini Workshop: Trace the Clue** Each group will receive a few simplified LLM application traces. For each trace, we will discuss: * What went wrong? * Which span looks suspicious? * Is it a retrieval issue, prompt issue, tool-call issue, hallucination, evaluator issue, or privacy/safety issue? * What evaluation or metric should be added? * Should this app pass or fail the release gate? The bad answer is the symptom. The trace is the evidence. Your job is to find what’s true. **Capacity:** 100 **Venue Info:** City University of Hong Kong, Kowloon Tong (Exact Location TBC) **Rundown:** **4:00–4:20 pm** — Arrival / registration / casual networking **4:20–4:30 pm** — HKPUG intro: tonight’s debugging case file **4:30–5:20 pm** — Talk: Debugging LLM Apps with Opik **5:20–5:35 pm** — Q&A **5:35–5:50 pm** — Short break **5:50–6:30 pm** — Mini workshop: trace the clue, find the failing span **6:30–6:55 pm** — Group discussion and case walkthrough **6:55–7:15 pm** — One-month Kaggle-style challenge launch **7:15 pm onwards** — Pizza, networking, and team forming **Audience pre-requisite:** * **Skills:** Recommended having basic level knowledge of Python **How to join?** 1. Click "Attend" on this page

**\*\*\*ATTENTION\*\*\*: You need to register in the below link to attend the meetup** **Register here:** CLOSED We are delighted to announce that our next meetup will be in cooperation with Maven Securities. Special thanks to our sponsor for F&B. **Special Episode: This event comes with 2-hours of CPT certificate.** \-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\- **Speaker 1:** Yunbo Ni **Topic:** Beyond Generic Coding Agents: Agentic Code Review for Critical Software Systems **Summary:** Modern software infrastructure increasingly depends on large, complex, and fast-evolving codebases. Compilers are a representative example: they sit underneath trading systems, networking stacks, AI infrastructure, and many other performance-critical applications, yet subtle compiler bugs can silently propagate into downstream systems. In this talk, I will use compiler reliability as a case study to discuss how agentic code review can be designed for real-world, high-stakes software systems. In this talk, I will introduce Archer, an agentic code review framework for LLVM. Instead of relying on a general-purpose coding agent, Archer combines domain-specific knowledge, compiler-aware reasoning, and a customized validation harness to inspect compiler changes and produce reproducible reports. In our evaluation, this specialized design is significantly more effective than general commercial review tools such as CodeRabbit and Greptile in identifying potential semantic issues in compiler optimizations. Beyond compilers, this talk aims to share broader lessons on building effective agents for large systems: how to decompose expert workflows, how to design tool-using agents, how to build reliable validation harnesses, and why domain-specific agent infrastructure can outperform generic AI coding assistants. **Bio:** He is a PhD student in Computer Science at The Chinese University of Hong Kong, advised by Prof. Shaohua Li. His research focuses on software engineering, programming languages, and AI-assisted developer tools. He is particularly interested in applying large language models and program analysis techniques to improve the reliability of complex software systems. His work has been published in top-tier international venues, including TOSEM and OOPSLA. \-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\- **Speaker 2 :** Serafim Petrov **Topic:** Leveraging XGBoost for Hierarchical Time Series Forecasting: A Practical Approach for Corporate Decision-Making **Summary:** Accurate forecasting is of paramount importance for a top-tier corporate client in Hong Kong. Our team was tasked with replacing their manual forecasting process with a modern machine learning framework that combines an automated workflow, robust predictive models, and an actionable dashboard seamlessly integrated into their existing infrastructure. In this presentation, we will walk through the key stages of a corporate data science project, including data preparation, model development and fitting, and the consumption layer. We will also discuss the role of MLOps in ensuring reliable model deployment and ongoing maintenance, as well as potential future integrations to enhance business impact. **Bio:** He is a senior data analytics consultant with over a decade of experience applying AI and machine learning to solve real-world challenges across consulting, finance, government, and research in Europe, theUS, and Hong Kong. His expertise spans predictive modeling, generative AI, and automation, with a focus on leveraging AI/ML platforms to convert complex datasets into strategic decision-making tools. \-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\- **Speaker 3 :** Zhai Yu **Topic:** Grounding LLMs to Mitigate Hallucination: Retrieval-Augmented Generation for Adverse Drug Reaction Normalization in Social Media Data. **Summary:** Social media data contains large amounts of unstructured, patient-reported adverse drug reactions (ADRs), which can benefit pharmacovigilance. However, mapping colloquial language to standardized terminologies such as MedDRA using large language models (LLMs) often produces hallucinated terms or codes.
This talk presents a framework to mitigate hallucinations by grounding LLM outputs in external knowledge and rigid constraints. The resulting methodology provides a reproducible and reliable approach to ADR detection and normalization, demonstrating how retrieval-augmented generation (RAG), dense reranking, and output-level constraints can together overcome the hallucination problem. **Bio:** A PhD student in Computational Linguistic and Natural Language Processing study. My research interests are Knowledge Engineering, Ontology, and LLMs in Healthcare.

A late night open mic show hosted by Stuart Palm at Nook Bar and lounge. This is a late night Tuesday night show starting at 10:30 on Tuesday Nights. Sign up is at the door. Join us to get on stage or just enjoy the show.

【歡迎只作旁聽，會作分享的書友優先】 1. 活動目標：希望大家能夠分享閱讀心得，開開心心共渡週末。 2. 地點：歡迎參加者提議，消費自付。 3. 時間：下午2時至5時（3小時） 4. 活動流程：以廣東話為主，輪流分享閱讀所見所聞，其他人輪流發問。希望各人藉此更能深刻了解書本知識，用更多不同角度探索書本， 互相啟發及學習。 5. 參加者需帶備一本已經閱讀80%或以上的書本 （中英文書皆可），歡迎絕大部分主題：勵志、心理、商業、股票、旅遊、運動、健美、中西醫療、哲學、散文、美術、種植、歷史、學習方法等等。不接受漫畫、雜誌、報章及任何淫褻不雅之讀物。 6. 活動在午餐 / 下午茶中進行。 7. 失約和習慣性最後一刻退出的成員，將從成員名單中刪除。 8. 若有候補名單，曾經失約和曾經最後一刻退出的成員，他們當次出席的名額將給予其他候補成員。 9. 其他事項：活動期間，參加者應小心看管個人財物，如有任何損失，本會概不負任何責任。

🛎️夏日韓國菜🛎️ 《第二組 豐衣築食吃喝會》活動 [1007 人氣韓國海鮮料理@Sonamu Korean Rest] 🇰🇷🍽️🥢 日期：7月10日(五） 時間：1930-2130 餐廳：Sonamu Korean Restaurant 消費：每位$400-500 Event fee :$10/位 人數：4 or 8套餐位起 Host: CC ❇️韓國特色料理❇️ ⚛️TST人氣韓國家庭式海洋料理 ⚛️韓國廚師班底主理 ⚛️裝修已簡約風為主，環境寬闊，以四人枱為主 ⚛️韓國爆紅，套餐菜式一次過以「換枱」式上菜食法！儀式感滿滿，澎湃式超震撼感 ⚛️煮法健康冇味精 💖套餐特色💖 ✴️揀選火鍋湯底（10款選擇/6款另加） ✴️12份韓式前菜 ✴️提供兩款主菜（22款選2/5款另加） ✴️有5款人數套餐 ⭐️姨媽套餐1 ：2人$480/$630 ⭐️媽媽套餐：3人$850 ⭐️婆婆套餐：4人$980 ⭐️Sonamu set : 5人$1130 ✴️ 飲品酒精需要另付 ⚠️溫馨提示：～ 1.座位有限，只能以4位、8位訂枱、報名從速！ 2.不歡迎臨時消失飛機友。 3.當成員付款後入臨時群，如缺席一律不設退款，請自動退組，在meetup轉“not-going。 4.若發現成員經常性臨時飛機友，會列入黑名單，望成員尊重自己，尊重本組活動。 (韓國料理餐廳資料）:~ SONAMU Korean Restaurant 網址: https://s.openrice.com/QrbS0c4OD00~uAyTUAw 地址: 尖沙咀柯士甸路152號好兆年行2期LG樓 電話: 66921233 ==================

Topic to be announced. **CALL FOR SPEAKERS** Learn more: https://www.awscolumbus.com/get-involved/ **THANK YOU** *VEEAM* for hosting our meetup! To learn more about *Veeam*, please visit their website: https://www.veeam.com/ **DIRECTIONS** 8800 Lyra Dr #450 · Columbus, OH go to 4th floor. **Want to sponsor the pizza and/or bar tab?** Please contact me if you would like to sponsor this meetup's pizza and/or bar tab: angelo@mandato.com

Want to be a speaker? submit your talk to our Call for Presenters!!! https://sessionize.com/azure-cbus-2026/

Most people use LLMs by feel: ask a question, read the answer, decide whether it “seems good,” and move on. That works for casual use. It does not work when you are building software, automating workflows, writing important documents, or relying on AI for anything that needs to be repeatable. In this talk, we’ll look at how to improve and evaluate the inputs and outputs of LLMs using practical measurement techniques. We’ll cover how prompt changes affect results, how to compare outputs, how to build simple evaluation sets, and how math-based methods like similarity scoring can help you move beyond guesswork. This will be beginner-friendly, so even if you don't know anything about AI, you should get something out of it. However, this will be a little more technical than our intro talks. You do not need to be an AI researcher, but programmers and technically curious attendees will get a lot out of it. We’ll cover: * Why “it looks good” is not enough * How to improve prompts by changing the input, context, and constraints * How to compare LLM outputs more systematically * Basic evaluation techniques for accuracy, consistency, and usefulness * How embeddings, cosine similarity, and scoring can help evaluate results * Where automated evaluation works — and where humans still need to stay in the loop By the end, you’ll have a practical mental model for treating LLMs less like magic and more like systems you can test, measure, and improve. LOGISTICS AND PARKING: The talk starts at 7:00 PM. The first half hour is reserved for everyone to get set up and mingle. Free pizza and drinks! The cheapest parking option is to find street parking, which will only cost you a few bucks. Otherwise, park in the nearby veteran's museum lot for $8. It's highly recommended you avoid the nearby $15 garage parking.

**Latest Dojo Location!** **Knotty Pine Brewing** 1765 W 3rd Ave, Columbus, OH 43212 We're going to try a new dojo location for a few weeks and see how it works Dojos are informal Python group study sessions where everyone interested in Python gathers to learn about Python, help others with Python, or just hang out. Everyone is welcome from Python beginners to experts. Bringing a laptop is encouraged (we'll have extension cords and power strips). If there's something you want to learn leave a comment on this invite so we can plan ahead. We're looking for speakers for our Monthly Meetups! Fill out the form if you are interested in presenting to the Python Community. https://forms.gle/ehSfUAC2WgR34Crq9

We connect you with up to 30 Men or Women tennis partners close to your PLAYING REGION and skill level. This program is less competitive, no champions crowned, no league standings just dedicated tennis partners who want to meet up with you on the courts. Players will meet up to play a tennis match or just to hit around. Just go through the [Join Page](https://www.tenniscolumbus.com/partner-program) to enter this program. [https://www.tenniscolumbus.com/partner-program](https://www.tenniscolumbus.com/partner-program)

You can sleep in on the Semiquincentennial (observed), we’re shifting to the following Friday. But join the local UX community for a chat and some biscuits to catch up. If you were in CA for Figma Config, tell us all the lines and you can tell me how I can animate an SVG without coding it by hand, and why I’d even want to. Thanks to the team at Nationwide of supporting the group.

We have moved to guild.host. Look us up there. https://guild.host/events/buckeye-cocoaheads-rcavwd