LLMs & the Generative AI Revolution

This event from the AI Infrastructure Alliance will provide diverse perspectives on how to take advantage of generative AI.

LLMs & the Generative AI Revolution

Discover the power of LLMs & the Generative AI Revolution!

📅 Date: September 14, 2023

🕒 Time: 11AM-2PM EDT

🌐 Location: Virtual, register here

Join us for an exhilarating exploration into the groundbreaking realm of LLMs, automated code recovery, image synthesis, personalized tutoring, and more. Embark on a journey to uncover the potential of cutting-edge tools and techniques, including vector databases, Langchain, OpenAI, and open-source models like Falcon. Elevate your understanding and harness the capabilities of these revolutionary advancements, placing next-generation AI at your fingertips.

🎙️ Modzy Talk: Robust and Resilient Edge+Cloud Inference for LLMs: Empowering Intelligent Edge Applications

🗣️ Speaker: Brad Munday, Head of ML Engineering at Modzy

In a world where LLMs are the talk of the town, what do these advancements mean for teams seeking real-time insights in data-rich edge environments? Dive into the realm of intelligent edge applications as Brad Munday, Modzy's Head of ML Engineering, delves into the strategies behind Robust and Resilient Edge+Cloud Inference for LLMs. While deploying ML models at the edge offers speed, security, and cost benefits, challenges arise due to device limitations and network constraints. This session focuses on a dynamic cloud-edge deployment approach, offloading resource-intensive LLM tasks to the cloud while enabling streamlined computations on edge devices.

🔍 Key Highlights:

  • Navigating the intricacies of running LLMs on resource-constrained devices
  • Exploring model compression, quantization, and hardware acceleration techniques
  • Unveiling the power of an edge-cloud architecture for seamless LLM inference
  • Ensuring robustness and resilience for intelligent edge applications

Don't miss out on this opportunity to grasp the essence of LLMs, amplify your understanding of cloud-edge dynamics, and learn how to create intelligent edge applications that seamlessly integrate cloud resources while elegantly managing edge limitations.

🎟️ Register here.