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公式動画＆関連する動画 [Optimize LLMs for inference with LLM Compressor]

RHT

Exponential growth in LLM parameters comes with serious deployment and infrastructure challenges. Principal Software Engineer Dipika Sikka and Machine Learning Engineer Kyle Sayers break down how LLM Compressor, an open source framework, can help streamline model deployment for higher throughput and lower latency.

00 Introduction 
14 The Artificial Intelligence (AI) Scaling Challenge 
28 Why Optimize LLMs? 
49 Introducing LLM Compressor 
29 Using LLM Compressor to Optimize Models 
52 Available Algorithms 
34 Model Inference with vLLM 
22 Supported Workflows with Examples 
16 LLM Compressor User Summary 
49 Where to Get Started 
07 Roadmap and Conclusion 

🔗Check out the project: https://github.com/vllm-project/llm-compressor 

🔗 Ready to put your optimized models into production? See how Red Hat’s AI portfolio helps you deploy and accelerate inference at scale. https://www.redhat.com/en/products/ai  

#RedHat #AI #vLLM #LLMCompressor 

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