** Important: register at the event website for admission (Due to room capacity & building security, you must pre-register at the link for admission. RSVP on the meetup does NOT. Contact us on the event website, not on meetup, for ALL questions.)

Description:

How can technology leaders navigate the complexity of fine-tuning AI models for improved performance while also balancing costs of training & deployment?

Join this technical deep-dive with AI experts from AWS, Meta to learn how to easily fine-tune & host their own, task-specific small LLMs (SLM) like Llama3 or Mistral. We will walk you through best practices, solution accelerators & pre-built examples (free access post workshop)

Agenda:

• 10:00am~10:30am: Checkin & networking


• 10:30pm~12:00pm: Tech talks & hands-on workshops


• 12:00pm~1:00pm: Lunch break


• 13:00pm~2:30pm: Tech talks & hands-on workshops


• 14:30pm~3:00pm: Open discussion & mingle

Why Attend?

• Understand SLMs: Learn about small language models (SLMs), which typically have 100 million to 1 billion parameters, offering a compact yet powerful alternative to large language models (LLMs).


• Maximize Accuracy: Discover how SLMs can outperform LLMs in task-specific generative AI applications.


• Cost Efficiency: Save over 90% on inference costs, making SLMs ideal for heavy inference use-cases with reduced compute demand & increased accessibility.


• Architectural Advancements: Explore the latest in data multi-tenancy with Adapters, ensuring robust data management & dynamic query routing.


• Optimized Fine-Tuning: Gain insights into avoiding data over-fitting or under-fitting during fine-tuning, & understand the differences in benchmarks when fine-tuning.


• Customer Experience: Learn how to improve generative AI customer questions & feedback experiences using data training techniques.

Exclusive Benefits

• Personalized Guidance Youll get 1:1 workshop assistance with AWS & Invisible experts.


• Enhanced Support Access AWS-funded SI Partner engagement for data preparation & fine-tuning assistance.


• AWS Credits Receive AWS credits for workload migration & an additional $150K credits for AWS silicon users.


• Post-Workshop Resources Gain free access to solution accelerators & pre-built examples to implement immediately.


• SLM Adoption Program Learn about the AWS programs for SLM adoption, providing comprehensive support & resources.

Requirements:

Bring your laptop

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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 350K+ worldwide.

Community on Slack/Discord

• Event chat: chat & connect with speakers & attendees


• Sharing blogs, events, job openings, projects collaborations