About us
Join us to learn and practice AI, Generative AI, LLMs, Agent, Machine Learning, Deep Learning, MLOps, ML and Data engineering, and Data technology together with like-minded developers.
Our goal is to congregate with AI enthusiasts from all over Sydney area to learn and practice AI tech, through tech talks, workshops, code labs etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, GenAI, LLMs, MLOps, Data.
If you’d like to speak at our meetups, co-host your events, or inquire about partnership opportunities, please feel free to reach out to us.
https://www.aicamp.ai
Upcoming events
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AICamp Sydney Meetup (Sep)
Salesforce Tower, 180 George Street, Sydney, AUImportant: Registration on the AICamp event website is required for admission.
Welcome to AI Camp meetup in Sydney. Join us for deep dive tech talks on AI, GenAI, LLMs and Agent, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers.
Agenda:
* 5:30pm~6:00pm: Checkin, food and networking
* 6:00pm~7:30pm: Tech talks and Q&A
* 7:30pm: Open discussion & MixerTech Talk: TabH2O: State-of-the-Art Predictions with a Tabular Foundation Model
Speaker: Shivam Bansal (H2O.ai)
Abstract: Learn how TabH2O enables state-of-the-art predictions on tabular data without extensive model development or tuning.
Instead of spending days or weeks training and tuning models, TabH2O delivers predictions in seconds through an inference-first approach to tabular ML.
Across 300+ benchmark datasets, TabH2O outperforms tuned XGBoost, CatBoost, GLM, and KNN models without requiring hyperparameter tuning.
This session explores the technology, benchmark results, and real-world applications of tabular foundation models.Tech Talk: Learning to Route: Reinforcement Learning, But Not As You Know It
Speaker: Ben Yi (ex-Intuit)
Abstract: A production chat agent picks between 76 skills on every query, in one shot, with no rollback; today that's an LLM router call, and it's slow, capped, and opaque. We built a small learned-routing policy offline and compared it against the LLM router across five different RL algorithms, expecting the usual RL story. We didn't get it. This talk walks through what we tried, what surprised us, and what it taught us about the data underneath the problem.Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit TopicsSponsors:
We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 8,000+ AI developers in Sydney and 500K+ worldwide.2 attendees
Past events
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