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Jump, kick, lift and turn! Lots of fun learning to dance this very highly uplifting, energetic and fun dance from India! Learn the culture and dance moves of this classical Indian dance that has become very popular all around the world! You will enjoy it thoroughly regardless of what dance background you may or may not have! WhatsApp 63344266 to book Prepayment required to secure booking www.deedreamlife.com/pricing-packages for fee info Download Dee Dream Life App for more info

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

First timer, please leave contact. Please put your name on the waiting list which will be updated later. My WhatsApp / Signal: 9528-5003 \-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\- Date: 6 July 2026 (Mon) Time: 9-11 pm (1+1) Court: #2 Level: Intermediate \# of Players: about 7 Shuttlecock: Moxiang Pink 7 PRO Format: Doubles Cost: $50 (PayMe / FPS #: 9528-5003) Venue: Quarry Bay Sports Center 7/F., 38 Quarry Bay St., Quarry Bay, Hong Kong (Gymnasium Tel: 2562-0374) 香港 鰂魚涌街 38 號 鰂魚涌市政大廈 7樓 鰂魚涌體育館 \-\-\-\-\-\> Exit A of Quarry Bay Station

ONLY PEOPLE WHO SUCCESSFULLY SIGN UP HERE CAN ATTEND. If you sign up and can no longer attend, please change your status to NOT GOING to allow others to participate. Thank you for your understanding :)


𝐀𝐁𝐎𝐔𝐓 𝐓𝐇𝐈𝐒 𝐒𝐄𝐒𝐒𝐈𝐎𝐍 🙌


Join us this upcoming Monday evening for some sweat and fun! 🎉💦 Our meeting point is on the concrete patio at the end of the central lawn before 7:00PM. Please arrive a few minutes early - skipping the warm-up puts you at greater risks for injuries. 10 mins of warm-up, 40 mins of workouts and 10 mins of stretching with tons of high-fives.
Who's in?? 👊
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⚠️ 𝐀𝐃𝐃𝐈𝐓𝐈𝐎𝐍𝐀𝐋 𝐈𝐍𝐅𝐎𝐑𝐌𝐀𝐓𝐈𝐎𝐍 ⚠️

Please take a minute to read the following information regarding your participation in FitFam workouts. By signing up for this session, you confirm that you have read and understood the terms and risks detailed below:

💬 WHATSAPP 💬

We have a WhatsApp group! If you've participated in several of our sessions and would like to stay engaged with other regular FitFammers, please let one of our leaders know at the end of a workout so they can add you to the group.


🙅 NOT GOING 🙅‍♂️


If you have signed up for a session and can no longer make it, please move yourself to "Not Going" so our leaders have a more accurate count of participants coming to their session. This also helps us plan workouts more effectively.


🔊 DISCLAIMER 🔊


By signing up for this session, you confirm that you have read and understood the terms and risks detailed in our Disclaimer and Release of Liability Agreement: https://www.meetup.com/fitfamhongkong/pages/29134671/Disclaimer_and_Release_of_Liability_Agreement
For any other question regarding our workouts and our community, please refer to the FAQs page: https://www.meetup.com/fitfamhongkong/pages/29134429/FitFam_FAQs
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FitFam is accessible to everyone. No equipment, no previous experience or wallet needed. See you on the field

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

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

【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。

First timer, please leave contact. Please put your name on the waiting list which will be updated later. My WhatsApp / Signal: 9528-5003 \-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\- Date: 11 July 2026 (Sat) Time: 7-10 pm, (2+2+2) Courts: #A, #B Level: All \# of Players: about 16 Shuttlecock: Moxiang White #2 Format: Doubles Sports Club Membership Fee: $30 (PayMe / FPS #: 9528-5003) Venue: Hung Hom Community Hall, 42 Bailey Street, Hung Hom, Kowloon 九龍 紅磡 庇利街 42 號 紅磡社區會堂 Direction (From Bus Stop to Hung Hom Community Hall): https://bit.ly/Hung-Hom-Community-Hall

**\*\*\*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.

First timer, please leave contact. Please put your name on the waiting list which will be updated later. My WhatsApp / Signal: 9528-5003 \-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\- Date: 12 July 2026 (Sun) Time: 7-10 pm, (2+2+2) Courts: #A, #B Level: All \# of Players: about 16 Shuttlecock: Moxiang White #2 Format: Doubles Sports Club Membership Fee: $30 (PayMe / FPS #: 9528-5003) Venue: Hung Hom Community Hall, 42 Bailey Street, Hung Hom, Kowloon 九龍 紅磡 庇利街 42 號 紅磡社區會堂 Direction (From Bus Stop to Hung Hom Community Hall): https://bit.ly/Hung-Hom-Community-Hall

Please find the event details on the link(s) / 請點擊連結查看活動詳情: https://happywednesday.hkjc.com/zh-HK/ https://happywednesday.hkjc.com/en-US/schedule/

**Practical Curiosity: Learning from Everyday Data** How do we actually get better at utilizing our day-to-day data? Fancy dashboards and complex models might look nice and draw attention, but that’s not where most of us spend our time. In fact those shiny outputs frequently sit unused, while the real insights are drawn from the analyst’s daily practice. Sometimes it’s as simple and as powerful as noticing that a segment is shrinking, a channel is underused, or certain links keep getting all the clicks. There’s many different places that the spark of insight can come from, but you have to keep your head in the data and know where to look. In this session, we’ll explore real-world examples of how segmentation, testing, and click behavior can uncover practical digital marketing opportunities. You’ll leave with inspiration for your own use cases, along with a few simple ways to ask better questions, spot meaningful patterns, and make smarter decisions without overcomplicating it. **About Our Speaker:** [Elaine Armbruster](https://www.linkedin.com/in/elainearmbruster/) is a Director of Digital Experience at the [American Diabetes Association](https://diabetes.org/), where she focuses on using data and insights to create smarter, more effective digital experiences. A lifelong Columbus resident, she has built her career in email marketing and the broader digital user journey, and is finding she most enjoys working in the messy middle where systems, data, and big ideas don’t quite line up yet. Thanks to our 2026 sponsors: [Clarivoy](https://www.clarivoy.com), [What Box Consulting Group](https://www.whatboxconsultinggroup.com), [Conductrics](https://www.conductrics.com), and [Piwik PRO](https://piwik.pro) More info at [cbusdaw.com](https://cbusdaw.com)

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

**💥 Join us THIS Saturday and EVERY Saturday!** **💥 At Columbus’ Hottest New Salsa Venue!** **.** Lincoln Street Salsa THIS Saturday and EVERY Saturday! 8 pm – 1 am **.** **💥 Gorgeously Renovated Studio!** **💥 Free Parking!** **💥 BYOB!** **💥 Easy Access from Highway!** **.** Lincoln Street Salsa 1717 Brice Rd Reynoldsburg, Ohio 43215 **.** **ENTRANCE IS ON THE NORTH SIDE OF THE BUILDING** **Behind Anthony’s Pharmacy!** **.** **PLEASE SHARE and help get the word out!** **.** **🟣 Salsa, Bachata, and Merengue Dancing!** **.** **🟣** 8:00 pm – 8:30 pm **𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻** **.** **🟣** 8:30 pm – 9:30 pm **𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿 𝗗𝗮𝗻𝗰𝗲 Class!** **.** **🟣** 9:30 pm – 1 am **𝗢𝗽𝗲𝗻 𝗗𝗮𝗻𝗰𝗲 𝗣𝗮𝗿𝘁𝘆!** **.** **✅ Questions?** **Visit [LincolnStreetSalsa.com](https://columbussalsadancing.com/)** Or Text Todd: 614-774-8146 **.** **✅ No Experience Necessary!** **✅ No Partner Required!** **✅ Plenty of People to Dance With!** **.** **✅ $15 Cash / $16 Card** **✅ College Students $5 Off with Valid ID!** **✅ BYOB** **✅ Age 18+** **.** **✅ Lincoln Street Salsa is the perfect place for…** **.** **👉 Learning to Dance** **👉** Social Dancing **👉 Birthday Celebration** **👉** Bachelorette Parties **👉 Girl’s Night Out** **👉 Date Night** **👉** Getting Fit / Burning Calories **👉 Meeting New People** **👉** Having Fun, Fun, Fun! **.** ✅ **Questions?** Visit [LincolnStreetSalsa.com](https://columbussalsadancing.com/ "https://columbussalsadancing.com/") Or Text Todd: 614-774-8146 .

We're planning a hands-on technical session focused on building AI solutions in ServiceNow - think skills, agents, and real-world use cases. If you’re curious about AI on the platform, RSVP now and stay tuned for more details. Let's build together!

(Note: RSVPing here on meetup does NOT reserve your seat. To do that, you’ll need to register at our website, [HERE](https://www.coreerocks.com/Events.aspx?ID=Picnic-with-a-Purpose-Real-Estate-Networking-That-Actually-Pays-Off-14-7-7-2026).) Real estate is a proven wealth-builder—it has been for generations. But it’s not a solo sport. You need PEOPLE—who can advise you, partner with you, bring you deals, and buy deals from you. We’re all about bringing you the best, most active, most got-your-back people in Central Ohio, which is why our July meeting is all about real conversations with real investors at our annual Picnic with a Purpose. This is where: * Deals get discussed * Partnerships get formed * Funding relationships start * Problems get solved faster Bring your family. Build your network. Strengthen the relationships that actually move your business forward. Members and first-time guests are free. Returning guests are $35. Location is a local park and will be shared after registration. Space is limited, so you’ll want to secure your spot now. Remember, to actually reserve your seat, you have to go [HERE](https://www.coreerocks.com/Events.aspx?ID=Picnic-with-a-Purpose-Real-Estate-Networking-That-Actually-Pays-Off-14-7-7-2026) and register on our website!

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.

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