Streaming GenAI MLOps | Social Hour | ft. DeltaStream & RedPanda

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Highlights

• Networking: Kick-Off GenAI MLOps Summit, come network and mingle with peers.
• Product Videos: Check out some cool product videos from DeltaStream & RedPanda.
• Demo [TBD]: Demo chat bot application to integrate stream processing with ChatGPT for a real time chat bot application. The application integrates with DeltaStream for real time stream processing to help fetch customer data from various data sources. This application is inspired by this blog from Confluent that provides a pattern on how to leverage enterprise data in real time to provide a more human like chat interaction using RAG to interact with LLMs. Live demo may not be possible, I am planning to post the demo online and share it with folks.
• Bring your own demos: if folks have anything to demo, feel free to bring it to the event. if not, you are still invite to mingle and network with fellow peers from Machine Learning, AI, GenAI, Data Engineering and Stream processing.

Join the Austin AIStream for a social hour session on October 24th Tuesday from 6:30-9:30 pm at The Water Tank (located at Address: 7309 McNeil Dr, Austin, TX 78729). 8 mins drive from MLOps Conference Venue.

They have lots of parking, with a big front lot and many more spaces in a back lot off the store front. See Street View: (map).

They have the best Beer, food (best hamburgers in town), coffee, other NA beverages along with lots of space to hang out, including live music and an onsite dog park. Website: http://www.austinwatertank.com/

Why you should attend

Following are some good reasons on why you should consider attending:

• Expand your professional network and make new connections.
• Discover new business opportunities and potential collaborations.
• Gain insights and perspectives from professionals in various industries.
• Share your knowledge and expertise with others.
• Get inspired by success stories and experiences of fellow attendees.
• Exchange ideas and brainstorm with like-minded individuals.
• Find mentors or advisors who can guide you in your career or business.
• Improve your communication and networking skills.
• Stay motivated and accountable by discussing your goals and progress with others.
• Find potential investors or funding opportunities.

What We're About

AIStream is a vibrant community based in Austin, bringing together builders, entrepreneurs, and individuals with diverse technical and non-technical backgrounds.

Our purpose is to foster inclusive spaces that facilitate connections, idea exchange, and knowledge sharing. We provide a platform for members to showcase their projects and expertise in artificial intelligence, distributed systems, cloud infrastructure, and stream processing. Whether you are a seasoned professional or just starting your journey, AIStream welcomes everyone who is passionate about artificial intelligence, distributed systems, cloud infrastructure, and stream processing.

At AIStream, we encourage an open and inclusive atmosphere, where questions are welcomed, ideas are valued, and diverse perspectives are celebrated to support growth and innovation within our community.

We invite you to connect with like-minded individuals, forge new partnerships, and contribute to the ever-evolving world of artificial intelligence, distributed systems, cloud infrastructure, and stream processing. Come and be a part of our inspiring journey!

Haiku: This meetup is free / to attend. Buy your own drinks, / and drinks for a friend... :). We will have a limited number of drink tickets from our Sponsors on first come first served basis.

We will roll out the red carpet, if you can talk about the following:

• Generative ai use cases.
• Retrieval Augmented Generation (RAG), Embedded Retrieval Generation (ERG)
• QLora, LLaMA, Attention is all you need, Sparks of AGI, Palm2, Stable Diffusion, GPT, Bert, Dalle, Claude, Vicuna.
• Universal Approximation Theorem, Backpropagation, Transformers.
• Real time stream processing use cases.
• Stream processing to train AI models.
• Red Panda, Kinesis, Kafka, Kafka Streams, Flink, Spark Streaming.
• Data Engineering, Data Quality, Data Observability.
• Building data models with data mesh or streaming data mesh.
• Feature, Training, Inference.
  LLM Workflows, Flyte