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MLOPS-World-GenAI-Summit

MLOps World & Generative AI Summit 2024: A Complete Blast!​

Event Overview​

The MLOps World & Generative AI World Conference 2024, held on November 7-8 at the Renaissance Austin Hotel, was a remarkable experience for the Austin LangChain AI Middleware Users Group (AIMUG) and the broader AI community. This two-day summit brought together industry leaders and enthusiasts in MLOps, AI Middleware, and Generative AI for an engaging experience of collaboration and learning.

Conference Highlights​

With over 40 technical workshops, case studies, and presentations, attendees had the unique opportunity to explore the latest advancements in MLOps and AI directly from the experts. Key sessions covered:

  • MLOps pipelines and best practices
  • Large Language Model (LLM) implementations
  • Real-world applications of Generative AI
  • Cutting-edge developments in AI infrastructure
  • Integration strategies for AI Middleware

AIMUG's Participation​

Community Representatives​

AIMUG was thrilled to contribute to the event by showcasing our community's commitment to open-source learning and innovation. Our distinguished representatives included:

  • Rob Whelan
  • Butch
  • Rob Kessler
  • Ricky Perruccio
  • Vaskin
  • Cameron Ruh
  • Scott Askinosee
  • Colin McNamara

Each member brought unique expertise and vision for the future of AI Middleware, contributing to the depth and breadth of knowledge shared at the summit.

Special Thanks​

We extend our deepest gratitude to Tina and Dave for their warm welcome and unwavering support of AIMUG. Their contributions made this experience truly memorable and rewarding for our community.

Event Media​

Watch highlights from the summit:

Stay Connected​

Join our community and stay updated on future events:

  • Community Website: Visit AIMUG for upcoming events and resources
  • Conference Details: Explore MLOps World for event highlights

The connections, insights, and inspiration from this summit will fuel our community as we continue to grow and innovate. We look forward to applying these learnings in our future projects and sharing them with the broader AI community.