What we’re about
This Meetup group supports the SF Bay ACM Chapter. You can join the actual SF Bay Chapter by coming to a meeting - most meetings are free, and our membership is only $20/year !
The chapter has both educational and scientific purposes:
- the science, design, development, construction, languages, management and applications of modern computing.
- communication between persons interested in computing.
- cooperation with other professional groups
Our official bylaws will be available soon at the About Us page on our web site. See below for out Code of Conduct.
Videos of past meetings can be found at http://www.youtube.com/user/sfbayacm
Official web site of SF Bay ACM:
http://www.sfbayacm.org/
Click here to Join or Renew
Article IX: Code of Conduct - from the ACM Professional Chapter Code of Conduct
Harassment or hostile behavior is unwelcome, including speech that intimidates,creates discomfort, or interferes with a person’s participation or opportunity for participation, in a Chapter meeting or Chapter event.Harassment in any form, including but not limited to harassment based on alienage or citizenship, age, color, creed, disability, marital status, military status, national origin, pregnancy, childbirth- and pregnancy-related medical conditions, race, religion, sex, gender,veteran status, sexual orientation or any other status protected by laws in which the Chapter meeting or Chapter event is being held, will not be tolerated. Harassment includes the use of abusive or degrading language, intimidation, stalking, harassing photography or recording,inappropriate physical contact, sexual imagery and unwelcome sexualattention. A response that the participant was “just joking,” or “teasing,”or being “playful,” will not be accepted.2. Anyone witnessing or subject to unacceptable behavior should notify a chapter officer or ACM Headquarters.3. Individuals violating these standards may be sanctioned or excluded from further participation at the discretion of the Chapter officers or responsible committee members.
Upcoming events (3)
See all- RAG using Milvus, HuggingFace, LangChain, Ragas, with or without OpenAIHacker Dojo, Mountain View, CA
LOCATION ADDRESS (Hybrid in person and zoom)
In-person at Hacker Dojo, 855 Maude Ave, Mountain View, CA 94043
For faster entry at the Dojo, please read the Dojo policies and when you sign up, state "I accept the Hacker Dojo policies"Online on Zoom
https://acm-org.zoom.us/j/94167775732?pwd=RFZPQVA5RFpTTnE3RGlYU2VYejNtdz09
On YouTube:
TBDAGENDA
6:30 Door opens, food and networking (we invite honor system contributions)
7:00 SFBayACM upcoming events, introduce the speaker
7:10 speaker presentation starts
8:15 - 8:30 finish, depending on Q&ATALK DESCRIPTION
RAG using Milvus, HuggingFace, LangChain, Ragas, with or without OpenAIAbstract:
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 Python demo tutorial on building a customizable RAG (Retrieval Augmented Generation) stack using OSS Milvus vector database, LangChain, Ragas, HuggingFace, and optional Zilliz cloud and OpenAI.
Learn best practices and advanced techniques to optimize GenAI workflows with your own data.What you’ll learn:
* Using Python, learn how to build a customizable open source RAG (Retrieval Augmented Generation) chatbot with Milvus vector database, LangChain, Ragas, and HuggingFace models, and optional Zilliz cloud and OpenAI.
* Best practices around embedding text data ("embedding" in AI is like "featurization" in ML).
* Best practices around vector indexing and search.
* Best practices around RAG evaluation with Ragas.Tutorial notebook link will be linked here: https://github.com/milvus-io/bootcamp/tree/master/bootcamp
Tutorial instructions like this but more focused on running locally: https://docs.google.com/document/d/1yetuGEkYqh_1rAYEBXFAnwsFClMAIQFx1erLHHKXTLg
Slides like these: https://docs.google.com/presentation/d/1hpiaiVMHm4oQr5P86NhcrL0qXwBIdWhHEZOlWKySHyMSPEAKER BIO:
6+ years building AI and ML systems with math and coding. My mission is to help developers and customers use those tools (with fewer heartaches than I had teaching myself) to organize and search unstructured data, such as images, videos, texts, and audios, using LLM and multi-modal apps. I enjoy learning new technologies and tools and solving challenging problems with math and coding.As a Developer Advocate, I use my skills in Python, HuggingFace, PyTorch, Spark, RLlib, Ray distributed computing, and vector databases to create and share engaging and informative content, such as tutorials, demos, blogs, and talks. I also manage the Bay Area Unstructured Data meetup group, where I organize events and foster a community of enthusiasts and experts in the field.
Outside of work, I enjoy hiking and bird watching. In my background photo: Australian bustard, spotted near Cairns, Australia.