🎉 'Tis the season to be AI-mazing! 🤖✨ As the year winds down and the holiday spirits ramp up, we invite you to the most electrifying end-of-year holiday bash. Get ready to unwrap a night of LLM Ops wonder and Generative AI delight. For this December's meetup, instead of our usual scheduled talks, we're partnering with MindsDB to throw the most exciting holiday bash for people who build AI!

While Santa prepares to deliver gifts, you've already been shipping your LLMs and Gen AI projects. AI Practitioners, ML Engineers, and Data Scientists, this party is to celebrate all your hard work this year! 

🎼 It's the season to be jolly, Lala-lala-la-lala-Llama! 🦙  

🎅🤖 Our holiday soirée is all about LLM Ops magic and the journey to bring Generative AI to life. It's like Santa's workshop for tech wizards! We'll have booths from all the exciting LLMOps tools we couldn't stuff in a holiday stocking, which you can learn the best practices from! Here are some of the planned sponsor demos: 

🚀🌟 Join us for a jolly good time filled with networking, laughter, and games that are merrier than a sleigh ride. Plus, hang out with industry experts on the cutting edge to learn the secrets of deploying LLMs and Foundation models like a pro. 

In the spirit of community and sharing of joy and good tidings, we request proposals from you, the community, to share your victories and learnings from your journey this year. These should be short presentations, impromptu talks, or quick (prerecorded) demos (1-2 mins MAX). 

Please note that these should not be product/tool marketing pitches!

Some example topics for your inspiration:

The community is enriched when we share our experiences - show us what you have learned and built!

🕺 And, of course, no holiday party is complete without a dance-off to your favorite festive tunes. Put on your holiday glitz and dance your way into the season of joy! I'm sure GenAI  has no moves on you!

🌲✨ So, whether you've been naughty or nerdy this year, come celebrate with us as we toast to a year of AI achievements and a future filled with holiday cheer! 'Tis the season for AI, after all! 🎄🎊

, we'll end the night with a dance party, MindsDB is a virtual database and developer platform bringing together real-time data and all applied AI in one environment, making it easier to build and deploy your GenAI solutions.

🎉  The Holiday Llama - MLOps Community Holiday Party 🎄

​🎉 The MLOps Community is finally coming to Silicon Valley! We'll be having our first meetup in San Jose in partnership with 

 🎊 We're excited to meet you and hope that this will be first of many events in Silicon Valley! 

Given it's our first time having an event in the South Bay, we have organized an exceptional event!

​🚨 𝗡𝗢𝗧𝗘: Limited seats. Please RSVP!

One more thing! We're excited that Joe will be giving a select few signed copies of his book - 

1st MLOps Community  Silicon Valley Meetup (In-Person / San Jose)

The MLOps Community in San Francisco is putting together a new series of technical workshops for the AI/ML Engineer together with some of the most cutting-edge companies ​🎉 

In this first part of our "Fall & Winter Workshops" series, we are partnering with 

 to create workshops on Fine-tuning LLMs and Multimodal RAGs - some of the hottest skills in demand right now.

This will be a half-day event with two sessions: 

 Fine-tuning Large Language Models with Declarative AI Orchestration - by 

 Vector Databases: From Fundamentals to Multimodal RAG Systems - by 

You can choose to register for either one or both the workshops. But spots are limited. So please apply in advance.

Fine-tuning Large Language Models with Declarative AI Orchestration - by 

Eduardo Apolinario, Engineering Manager at 

 where he leads the Open-source team. He's also one of the maintainers of Flyte. Before working at Union, Eduardo was an engineer at Lyft working on the intersection of ML and infrastructure.

 The use of Language Models has become more widespread in recent years, thanks in part to the broader accessibility of datasets and the ML frameworks needed to facilitate the training of these models. Many of these models are large – hence the terminology of Large Language Models (LLMs) – and serve as so-called foundation models, which are trained by organizations with compute resources to train them. These foundation models, in turn, can be fine-tuned by the broader Machine Learning community for specific use cases, perhaps on proprietary data. One of the barriers that make fine-tuning these models is infrastructure: even with cloud tools like Google Colab and the wider availability of consumer-grade GPUs, putting together a runtime environment to fine-tune these models is still a major challenge. This workshop will give attendees hands-on experience on how to use 

, the Kubernetes-native AI orchestrator for building production-grade data and ML pipelines, to declaratively specify infrastructure so that they can configure training jobs to run on the required compute resources to fine-tune language models on their own data.

 Whether you're new to the intersection of AI and infrastructure or an experienced practitioner, this workshop will give you the conceptual understanding to fine-tune LLMs using modern ML libraries.

 This workshop has two main learning goals. First, attendees will learn the main concepts behind 

, a workflow orchestrator for data and machine learning. Many of these concepts are orchestrator-agnostic, such as containerization for reproducibility, declarative infrastructure, and type safety. Secondly, they will also learn how to leverage the latest deep learning frameworks that optimize memory and compute resources required to fine-tune language models in the most economical way.

 Intermediate Python, working knowledge of Docker, and intermediate knowledge of machine learning.

Session II: Vector Databases: From Fundamentals to Multimodal RAG Systems - by 

The recent rise of LLMs has completely changed the conversation around vector databases and their absolute necessity. Additionally, terms like "Multimodality and Retrieval Augmented Generation (RAG) are two very important concepts that are currently being discussed when building real-life AI applications.

But what are they, really? How do you get the most out of your vector database? How can you build cutting-edge ai applications leveraging these concepts? Join us for a hands-on workshop to learn all about the fundamentals of vector databases and how to build up an application that leverages multi-modal RAG search (AI that combines video, text, images, and audio in the context of your own data).

 This Workshop is intended for intermediate to professional-level developers/data scientists (programming skills highly recommended) who want to learn how to leverage vector databases for multimodality in a RAG environment.

 for being a community partner and hosting our upcoming events!!

Note: To comply with the venue, we've added a few questions that have been requested of us. Thank you for understanding.

MLOps Community San Francisco Fall & Winter Workshops - Part 1

​🎉 The MLOps Community in San Francisco is coming together in person for our 6th meetup of the year, in partnership with 

This month, we'll cover various challenges in creating LLMs-powered apps - from RAG benchmarks to lessons learned in creating an OSS chatbot, to an exciting new frontier - the next million AI systems!

NOTE: We'll be closing RSVPs 48 Hours before the event. 

The meetup will be at Microsoft Reactor in SF and we'll need to provide them with additional information (Company/Phone Number/Citizenship) at sign up (Thank you for understanding 🙏)

​This event is brought to you in partnership with 

 for being a community partner and hosting our upcoming events!! 

6th MLOps Community SF Meetup (In-Person)

 for a welcome evening of BBQ (Friday, June 16th - Session 1) and an all-day 

 (Saturday, June 17th - Session 2) with the 

 using a large corpus of community Slack and Videos!

Need a vector database brush up? Join us for a 

on Wednesday, June 14th for an intro to Weaviate, where you'll get hands on experience with a vector database. 

💪 Collaborate with and learn from other like-minded MLOps practitioners in AI, ML, and Data Science industries.

💻 Get access to tools and credits from Weaviate to build end-to-end solutions.

👨🏻‍💻 Get support in-person from Weaviate engineers – who will help you go from 0 to 100 in no time.

📣 Selected teams will be invited to share their solutions at an upcoming Berlin MLOps Community meetup

Vector embeddings generated by LLMs – like those provided by OpenAI, Cohere, Hugging Face, and Google PaLM, or those you may fine-tune yourself – opened up a world of possibilities in how we understand and query our data.

 – an AI-native vector database – and you have a recipe for running LLMs at a scale of millions or even billion data objects.

Option 1 – MLOps community Slack search

 is a 17K+ member community, primarily online in a thriving slack channel and through virtual and in-person events. There is a lot of tribal knowledge in the community where experts answer questions from other MLOps practitioners in Slack and via in-person meetups and online videos. 

We want you to build an LLM-powered application (Web/Mobile/Slack) to answer MLOps and other ML/DS/AI questions that community members may have using the historical knowledge in Slack, videos, etc.

 For example - you may implement the solution as a chatbot that uses embeddings and a vector datastore to generate the answers.

Bring in your own data and a use case – that you were itching to build but never had the time for.

We will help you generate vector embeddings***** and show you how to query your data******. Then you will be able to focus on building the rest of the app to impress us all.

****** if you already have vector embeddings for your data ready, that is cool too – we will show you how to load your data with your embeddings.* ******

warning: you may be surprised how little code it takes to do it all.

 As part of enhancing our community, we are looking to provide the opportunity to our members and other participants to learn to improve their knowledge on building LLM-powered solutions to a common problem of knowledge discovery by designing and building an app that uses LLMs to answer community member questions, just like the human experts.

Here’s everything you need to know to get started:

👷 You can work individually or in groups of up to 4 people

🔨 You can use any Open Source tools to build your solutions and your code need not be open-source.

💽 The data provided for the purposes of this hackathon is under the 

 license, intended for non-commercial use only.

📅 Projects should be started at the event kick-off to maintain fairness across projects

🔨 Get a head start with this vector database workshop hosted by Weaviate on Wednesday before the hackathon with this free workshop on  

💫 Looking for creative solutions in the LLM App Stack (UI, System Design, Microservices) that solve real-world problems using emergent LLM technologies.

Disclaimers: Any of the details of this event are subject to change at the discretion of the organizer. The organizer of this event is not responsible for any damages, injuries, or legal consequences resulting from your attendance or behavior during the event. We reserve the right to update or modify this disclaimer at any time without prior notice. Your continued attendance at the event following any changes to the disclaimer constitutes your acceptance of those changes.

Vector DB & LLM Hackathon

Large Language Model (LLM) Stack Hackathon

💪 Collaborate with and learn from other MLOps practitioners who work in AI, ML, and Data Science roles in the industry.

🤝 This event is open to anyone who is interested in building an LLM Stack and not limited to existing 

 members. You’re free to join though 🙌.

💻 Get access to tools and credits from Redis and Relevance AI to build end-to-end solutions.

♥️ As a community event, this hackathon is organized for participants to work and learn together with like-minded individuals. So, bring your authentic self, be kind, respectful, and have fun building something awesome together.

📣 Selected teams will be invited to share their solutions with an audience of over 4000 global attendees as a lightning talk at the 

 conference taking place on June 15th and 16th 2023!!

 is a 17K+ member community, primarily online in a thriving slack channel and through virtual and in-person events. There is a lot of tribal knowledge in the community where experts answer questions from other MLOps practitioners both in Slack as well as via in-person meetups and online videos. 

We’d love to see your creativity in designing your LLM Stack and showcase how useful your app can be to help MLOps practitioners learn from the experience of others. We encourage participants to discover, experiment, and build high-impact solutions using the dataset during this hackathon, and improve their skills to build powerful LLM Stacks! That being said, here are a few 

dimensions you could consider when creating your LLM Stack solution:

🔨 You can use Redis, RelevanceAI, or any other tools to build your solutions.

, appreciated for its adaptable in-memory database and diverse data structures, is excited to fuel creativity at the frontier of generative AI. At the LLM Stack Hackathon, participants will have the opportunity to explore Redis as a low-latency vector database for streamlined context retrieval or LLM caching. Sponsoring this event, Redis is wholeheartedly championing the advancement of solutions that will invigorate and empower the vibrant MLOps Community.

, appreciated by developers and industry leaders for its managed LLM chains API that allows developers to quickly build and deploy secure and scalable chains. Relevance AI is excited to help provide the capability to help everyone overcome limitations that comes out of the box with LLMs, like hallucination, quality control and more via chaining. At the LLM Stack Hackathon, participants will have the opportunity to explore Relevance as a chaining platform to connect various pieces like vector database, unstructured data transformations, guardrails and more. Relevance can also be used by low-code users via our notebook experience. Sponsoring this event, Relevance is looking forward to see what the amazing MLOps community will invent and build!

, an early-stage venture fund focused on developer and data infrastructure companies, backing companies like MotherDuck, Modal, 

 and others. Essence will love to highlight winners and fun projects out of this hackathon on our social channels! 

 - a week of events hosted by VCs and startups to bring together the tech ecosystem

Demetrios