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About us

We are an AI developers community who focus on AI, ML, GenAI, LLMs, Agentic AI, Deep learning and Data Science technology. We will regularly invite developers, engineers to share and discuss the latest tech trend, best practices and practical experiences, with tech talks, panel discussion, workshops, code labs, and hackathons.
If you are developers, engineers, data scientists, AI/ML/Data practitioners, engineering leaders, startup founders, you are welcome to join us.
All the events are free and open to the public.
if you are interested in speaking/sharing your topics, collaboration with your events, or volunteering to build and grow the local AI/ML/Data community, feel free to contact me.

Upcoming events

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  • AI Deep Dive (Virtual) - Building Self-Improving Agents

    AI Deep Dive (Virtual) - Building Self-Improving Agents

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    Online
    Online

    Important: Register on the event website to receive the joining link. (rsvp on meetup will NOT receive anything).

    This is virtual event for our AI global community, please double-check your local time. Can't make it live? Register anyway to receive the webinar recording.

    Join Snowflake to learn how to build self-improving agents

    Tech Talk: Your Agent Should Fix Itself: Building Self-Improving Agents
    Speaker: Elliot Botwick, Principal AI/ML Architect, Snowflake
    Abstract: In this talk, we will share how coding agents help developers build high quality agents faster.
    A key insight from building agents in production is that high quality agents operate with their goals, plans and actions aligned. We introduce the Agent Goal-Plan-Action (Agent GPA) framework to capture this insight, which achieved state of the art benchmarks on TRAIL/GAIA with 95% error coverage and 86% error localization.
    The Agent GPA framework assesses the full agent's process:

    • Was the goal achieved efficiently?
    • Did the plan make sense?
    • Were the right tools used?
    • Did the agent follow through?

    Without visibility into these steps, teams risk deploying agents that look reliable but create hidden costs in production. Inaccuracies can waste compute, inflate latency and lead to the wrong business decisions, all of which erode trust at scale.
    We will show how to use coding agents to automate the process of measuring and improving your agent's GPA by using optimization skills that take advantage of the GPA evaluation framework. By the end, you’ll be able to use coding agents and the GPA framework to identify common agent failures, improve their agent and make it ready for production.

    Venue:
    Virtual, join from anywhere

    More virtual sessions:

    • July 22nd: AI Deep Dive with Google Ep1. RSVP
    • July 29th: AI Deep Dive with Snowflake. RSVP
    • Aug 5th: AI Deep Dive with Google Ep 2. RSVP
    • Sep 2nd: AI Deep Dive with Google Ep 3. RSVP
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    11 attendees

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