• [In-person conference] AI Summit West - San Francisco

    San Francisco

    This is in-person paid conference. Event details and purchase tickets on the event website (Use promo code: AICAMP for 25% off).

    Join us for the eighth edition of the RE•WORK AI Summit West happening on February 15-16, 2023, at the Hotel Kabuki, in San Francisco, CA. This 2-in-1 summit includes access to both the Deep Learning Stage and the Enterprise AI Stage.

    Discover advances in deep learning algorithms and methods from the world's leading innovators. Learn from industry experts in speech & pattern recognition, neural networks, image analysis, and NLP. Explore how deep learning will impact finance, healthcare, manufacturing, search & transportation.

    This is a unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the AI/DL revolution. Learn from & connect with leading industry innovators sharing best practices to advance the smart artificial intelligence revolution.

  • ML Meetup (San Francisco) - Large Language Models

    San Francisco

    Welcome to our in-person ML monthly meetup in San Francisco, in collaboration with Cohere. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers&peers developers, and win lucky draw prizes.

    [RSVP instructions]

    • Register at the event website. (Correct name is required for badges and check in. NO walk-ins, NO access without badge)
    • Contact us to submit topics and/or sponsor the meetup on venue/food/swags/prizes. https://forms.gle/JkMt91CZRtoJBSFUA
    • Community on Slack for events chat, speakers office hour and sharing learning, job openings and projects collaboration. join slack


    • 5:30pm~6:00pm: Checkin, Food and Networking
    • 6:00pm~6:10pm: Welcome/Sponsor intro
    • 6:10pm~7:30pm: Tech talks
    • 7:30pm~8:00pm: Lucky Draw & Mingle

    Tech Talk 1: Large Language Models for Real-World Applications
    Speaker: Hemant Jain, Software Engineer, Model Serving @ Cohere
    Abstract: Machine language understanding and generation has been undergoing rapid improvements due to recent breakthroughs in machine learning (e.g. large language models like GPT and BERT). And while big tech and NLP engineers were quick to capitalize on these models, the broader developer community lags in adopting these models and realizing their potential in their business domains.
    This talk provides a gentle and highly visual overview of some of the main intuitions and real-world applications of large language models. It assumes no prior knowledge of language processing and aims to bring attendees up to date with the fundamental intuitions and applications of large language models.

    Tech Talk 2: TBD