** Important **: Due to room capacity and building security, it is REQUIRED to register on the event website for admission.

Description: Join us for a 90-minute interactive instructor-led workshop where you'll gain hands-on experience with DeepSeek-R1 on AWS! This session is designed for developers, data scientists, and AI enthusiasts looking to explore fine-tuning Llama models, multi-model AI agents, and real-world AI applications.

What you will learn?

• How to use pre deployed DeepSeek-R1 on AWS;
• Fine-tuning DeepSeek distilled Llama models;
• Rapidly building Multi-model agents.

We will walk through a hands-on use-case in financial services (example) research. Attendees will have access to pre-built solutions, self-help workshops, technical Q&A with AWS AI experts. AWS customers with innovative use-cases, can also be nominated for special AWS programs offering financial and technical support.

Who Should Attend: AWS users interested in evaluating DeepSeek and open-source AI solutions. Priority will be given to those with demonstrated need e.g. addressing a critical innovation or production bottleneck such as latency, cost, model-accuracy or data privacy.

Requirements: Bring your laptop

Venue: AWS NYC Office, JFK-27 HANK, 12 W 39th St, New York, NY 10018, Basement Floor This workshop is hosted by our partner, AWS.

Speakers and Topics: If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsor. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in New York or 450K+ worldwide.

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers. *