What we’re about
Join us to learn and practice AI, LLMs, ChatGPT, NLP, Machine learning, Deep learning and Data Science technology together with like-minded developers.
Our goal is to congregate with AI enthusiasts from all over San Francisco/Bay area to learn and practice AI tech, through tech talks, workshops, code labs etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, Cloud, Data.
If you’d like to speak at future meetups, co-promote your meetup or inquire about partnership opportunities, please feel free to reach out to us (info AT aicamp DOT ai)
Upcoming events (2)
See all- AI meetup (Github SF): AI, LLMs, and MLGitHub, San Francisco, CA
** Important RSVP HERE (Due to building security, you must pre-register at the link for admission)
Description:
Welcome to the monthly in-person AI meetup in San Francisco. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.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.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 TopicsSponsors:
We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, 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 or 350K+ in global.Community on Slack/Discord
- Event chat: chat and connect with speakers and attendees
- Sharing blogs, events, job openings, projects collaborations
- Join Slack/Discord (the link is at the bottom of the page)
- Index Conference 2024 (Silicon Valley and Virtual)Computer History Museum, Mountain View, CA
** Important RSVP HERE (You must pre-register at the link for admission)
Description:
Index is the conference for engineers building search, analytics and AI applications at scale. It brings engineers building search, analytics and AI applications together, with a focus on the design and development of search, analytics and streaming engines. You’ll see engineers and architects present on how they built systems to scale to millions of users or centralize search infrastructure to serve a number of applications.This event is free to attend and topics include:
- Search and analytics systems;
- AI and vector databases;
- Streaming data infrastructure;
- Cloud and serverless advancements.
Agenda:
- 9:00am: Welcome Keynote
- 9:30am: Improving Homepage Personalization at Netflix
- 10:00am: How Cognism Rearchitected In-App Search
- 10:45am: How DoorDash Personalizes the Shopping Experience
- 11:30am: How Miro Optimizes the Timing and Channels for Notifications
- 12:00pm: How We Built Search for Go-to-Market Platforms at ZoomInfo
- 12:30pm: Lunch & Birds of a Feather
- 1:30pm: Vector Search and the FAISS Library
- 2:00pm: How Uber Eats Built a Recommendation System
- 3:00pm: New Architectural Patterns in Recommendation Systems
- 3:30pm: RocksDB Meetup: Scaling Uber's Docstore DatabaseAttending:
- Virtual or
- In-person: Computer History Museum, Mountain View CA
