AI Tinkerers Hong Kong hosted a practitioner-focused, in-person networking night for builders and researchers interested in LLMs and generative AI. The event facilitated high-signal conversations and collaboration opportunities.
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The group held an interactive online meetup focused on practical AI command-line tools for code generation, offering a technical deep dive and exchange among builders and engineers.
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Missingness/outliers: mask M ∈ {0,1}^n×p, observed iff M_ij = 1,
X̃ = X ⊙ M + mask ⋅ (1 - M).
Dataset shift across tasks: tables D^(t) ~ P_t; need generalization across t.
Bias-variance view:
E[(f̂(x) - y)²] = (E[f̂(x)] - f*(x))² + Var[f̂(x)] + σ².
4/23
Yuhan Long
Marcus Leiwe
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MoonlitDreams
IC
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Kam-ting Tsoi
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William Gazeley
Timothy Chau](https://sloppy-joe-app.imgix.net/blog_images/screenshot-2025-08-26-at-19-09-14-meet-sfc-3otY.png?h=475&w=700&fit=crop&auto=format%2Ccompress&q=68)
The AI Paper Club discussed foundation models for tabular data, focusing on ICML 2025 papers addressing in-context learning and model robustness.
The AI Tinkerers hosted an in-person gathering featuring Baidu PaddlePaddle, hands-on demos from local builders, and networking for the Greater Bay Area AI community, supported by Baidu.
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AI Tinkerers Hong Kong hosted a relaxed, in-person networking night for builders and practitioners working with foundation models to connect and share projects.
The AI Tinkerers Hong Kong online meetup featured builders sharing favorite, high-impact, lesser-known AI GitHub projects and implementation stories.
Builders and practitioners gathered for hands-on demos on foundation models and generative AI, featuring a special session from Alibaba Cloud.
AI Tinkerers Hong Kong hosted a casual in-person networking night for technical practitioners to share ideas and form collaborations around LLMs and generative AI.
The online meetup focused on agentic automation, providing practical integration of LLMs using tools like n8n and Zapier for technical practitioners.
AI Tinkerers Hong Kong hosted a meetup focused on the AI ecosystem and supercomputing services, featuring demos and networking, with support from Cyberport.
Best AI meetup in Hong Kong for builders
AI Tinkerers Hong Kong is built for engineers, founders, researchers, product builders, and developers working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Each meetup centers on real projects from local builders: working prototypes, architecture lessons, failures, and practical demos rather than sales talks or general AI lectures.
The Hong Kong chapter is part of a 231-city global network with 110,000+ members, making AI Tinkerers the world's largest hands-on AI builder community. Members include AI engineers, ML researchers, developers, founders, and builders from the local Hong Kong chapter.
A typical AI Tinkerers Hong Kong meetup runs about three hours with live demos from local builders, technical Q&A, and networking. Demos are expected to show real systems or code, not sales decks. The next event is AI Tinkerers Hong Kong & GBA at Dialogue in the Dark (June) on June 24, 2026. Subscribe to the Hong Kong chapter to get notified about future events.
AI Tinkerers Hong Kong is the best AI meetup in Hong Kong for hands-on builders who want live code demos, technical discussion, and no-pitch networking. The Hong Kong chapter hosts in-person events for engineers, founders, researchers, and product builders working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Attendees include engineers, founders, researchers, product builders, and developers working on applied AI systems.
AI Tinkerers Hong Kong is screened, demo-first, and no-pitch. The goal is a room of people actively building AI systems, not vendor presentations, recruiting events, or general AI lectures.
Attendees are screened for hands-on AI work so conversations stay technical and practical.
Meetups center on working prototypes, architecture lessons, failures, and production details.
The Hong Kong chapter is part of a 231-city network with 110,000+ members worldwide.
Python: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.
Large Language Models (LLMs) are deep learning models, built on the Transformer architecture, that process and generate human-quality text and code at scale.
AI: The computational system driving human-level problem-solving (e.g., GPT-4, AlphaGo), actively transforming sectors like healthcare and finance with predictive analytics.
OpenRouter: The unified API gateway for hundreds of LLMs, providing single-endpoint access, automatic fallbacks, and cost-optimized routing across all major providers (e.g., OpenAI, Anthropic, Google).
TypeScript is an open-source superset of JavaScript: it adds static typing and compiles to clean, standards-based JavaScript.
Docker is the open-source platform that packages applications and dependencies into standardized, portable containers for consistent execution across any environment.
Flash was a dominant multimedia software platform (Macromedia, then Adobe) used for creating vector graphics, animation, and Rich Internet Applications (RIAs), officially discontinued on December 31, 2020.
Compute dense vector representations for sentences and paragraphs using a Python framework that optimizes transformer models for semantic similarity.
ML is the AI subset where algorithms automatically learn patterns from data to make predictions or decisions, replacing explicit, hard-coded instructions.
Next.js is the full-stack React framework: it delivers high-performance web applications via hybrid rendering and powerful, Rust-based tooling.
"Great to see practical computer vision applications being developed by people with backgrounds in the humanities."
"This is one of the best AI communities ever in HK. Full support! Just one thing, any archive or e-library that lists up all the demos with key highlight description would be helpful for records and references?"
"Great talk, really great to see what you've been building and how things can be run locally. Loved your enthusiasm for the topic; it was really engaging, and I learned a lot. Thank you very much!"
"Great session! Loved your enthusiasm for the topic. It was fun, engaging, and I also learned a lot. - Great to see a model running locally - Love that you brought your own hardware Thanks again!"
"Great talk, very engaging. Learned a lot of some potential new techniques and great to see how to use the Baidu AI studio. Quite inspiring. Thanks again!"
"would've loved more time for Q&A with some of the presenters. i find audience questions really helpful too."
"Very clear and well structured talk. Very engaging and provoked some great discussions"
"As a new member, the short and sweet intro of every attendee was great as it gives insights as to what people's expertise lie in/ what their interests are"
"If possible provide some more information about the venue? Yesterdays venue was great but people might not have known the event was held at a store selling beauty products"
"This was my first event but I feel I am already part of this community! Amazing people. Love to be part of HK AI thinker’s community."
Last updated: June 2026
