With the rising demand for Generative AI applications in businesses, existing operational ecosystems are being tested for their adaptability to this new technology. This talk aims to address the arising question: "Can existing MLOps frameworks accommodate LLMOps while maintaining risk and compliance standards across enterprises?" We will delve into the intricacies of both MLOps and LLMOps, discussing which MLOps components are feasible for reuse, and which require major modifications or total replacement to support generative AI and LLMs efficiently. We invite IT professionals tasked with supporting LLMOps systems, Engineers and Data Scientists tasked with building LLM-based applications, and Risk Officers seeking to establish governance frameworks to join us as we chart the roadmap for the transformation of your existing MLOps framework to make it Gen-AI-ready.
Find the slide deck here: drive.google.com/file/d/19xI4...
About Anyscale
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Anyscale is the AI Application Platform for developing, running, and scaling AI.
www.anyscale.com/
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About Ray
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Ray is the most popular open source framework for scaling and productionizing AI workloads. From Generative AI and LLMs to computer vision, Ray powers the world’s most ambitious AI workloads.
docs.ray.io/en/latest/
#llm #machinelearning #ray #deeplearning #distributedsystems #python #genai
Негізгі бет Bridging MLOps and LLMOps: Integrating Governed Generative AI into your Enterprise
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