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CPU Inferencing of Language Models in Teradata

MLOps World: Machine Learning in Production via YouTube

Overview

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Learn how to implement and run pre-trained Hugging Face language models directly within Teradata's Vantage platform using CPU-only inference in this comprehensive workshop. Discover Teradata's massively parallel processing capabilities and how the platform's shared-nothing, linearly scalable architecture enables GPU-like inference performance through parallel CPU processing. Explore the installation process for embedding and sequence-to-sequence language models within the database environment, and understand how to integrate these AI capabilities into existing ETL workflows and business intelligence dashboards with built-in workload management. Gain insights into practical applications and novel use cases for in-database language model processing, including integration strategies for customer experience applications. Master the techniques for leveraging Teradata's SQL and Python/R interfaces to access and utilize language models within enterprise-scale data processing environments, enabling seamless AI integration without requiring separate GPU infrastructure.

Syllabus

CPU Inferencing of Language Models in Teradata

Taught by

MLOps World: Machine Learning in Production

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