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Optimizing Large Language Models (LLMs)

Topics Covered

Level :

Expert

Hyperparameter tuning, large model optimization, efficient deployment

Course Summary

Boost the performance of LLMs for large-scale, cloud-based deployments.

Course Description

Master the techniques required to optimize large language models for enterprise-scale use. Topics include tuning, inference strategies, and computational resource management.

Learning Modules

Module 1: Optimization Fundamentals: Understand performance bottlenecks and parameter tuning.
Module 2: Cloud-Scale Techniques: Efficiently manage memory and latency.
Module 3: Deployment Best Practices: Tools and methods for reliable delivery.

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