AI meetup (May SF): AI, LLMs, and ML


May 01, 05:30 PM PDT
  • San Francisco AICamp
  • 248 RSVP
Description
Speaker

Welcome to the AI meetup in San Francisco, in collaboration with GitHub. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.

Agenda:
- 5:30pm~6:00pm: Checkin, food and networking
- 6:00pm~6:10pm: Welcome, Community update
- 6:10pm~8:00pm: Tech talks and Q&A
- 8:00pm~8:30pm: Open discussion, Mixer and Closing.

Tech Talk: Deploying LLMs and SLMs locally on consumer hardware
Speaker: Cooper Lindsey (Knap)
Abstract: As companies and consumers become more aware of the high token and data security costs of cloud based LLMs, many are turning to locally deployed LLMs (and Small Language Models or SLMs) for specific tasks. I will be talking through our efforts to vectorize data locally on M-Series Macs, which LLMs work best, and how to configure RAG in this context for local LLMs.

Tech Talk: How AI can save email
Speaker: Michael Vandi (Addy AI), Spatika Ganesh (Addy AI)
Abstract: In this talk, we will be talking about how hyper-personalized LLMs, finetuned for specific organizational workflow have the potential to automate the bulk of email tasks, resulting in high productivity and efficiency gains. We also showcase how Addy AI enhances user experience by offering multiple trained assistants tailored by the user, to assist with performing diverse tasks encountered throughout the day. Additionally, we will also be covering how by implementing RAG, we are able to provide user’s more control over their AI assistants’ responses.

Tech Talk: Customizable RAG workflows with your own Data
Speaker: Christy Bergman (Zilliz)
Abstract: You’ve heard good data matters in Machine Learning, but does it matter for Generative AI applications? Corporate data often differs significantly from the general internet data used to train most foundation models. Join me for a demo on building a customizable RAG (Retrieval Augmented Generation) stack using Milvus vector database, LangChain, Ollama with Llama 3, Ragas RAG eval, and optional Zilliz cloud, Anthropic, OpenAI.

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 Topics

Venue:
GitHub, 88 Colin P Kelly Junior Street, San Francisco, CA

Sponsors:
We are actively seeking sponsors to support AI developers community.  Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 30,000+ AI developers in San Francisco Bay Area or 350K+ worldwide.

Community on Slack/Discord
- Event chat: chat and connect with speakers and attendees
- Sharing blogs, events, job openings, projects collaborations
Join Slack (search and join the #sanfrancisco channel) | Join Discord

Cooper Lindsey, Michael Vandi, Christy Bergman

The event ended.
Watch Recording
*Recordings hosted on Youtube, click the link will open the Youtube page.
Contact Organizer