Strategies for Efficient LLM Deployments in Any Cluster -Angel M De Miguel Meana \u0026 Francisco Cabrera

(30:47)

How Large Language Models Work

(5:34)

Efficient LLM FINE TUNING - LORA | Visualized and Explained LORA

(5:30)

[2024 Best AI Paper] A Survey of Resource-efficient LLM and Multimodal Foundation Models

(19:30)

A Survey of Techniques for Maximizing LLM Performance

(45:32)

Revolutionizing Transportation: Advanced LLM Routing with RouteLLM

(30)

Model Merge: A New Frontier for LLM Efficiency

(5:35)

AI can't cross this line and we don't know why.

(24:7)

Efficient LLM Inference with SGLang, Lianmin Zheng, xAI

(24:37)

Fast LLM Serving with vLLM and PagedAttention

(32:7)

Efficiently Scaling and Deploying LLMs // Hanlin Tang // LLM's in Production Conference

(25:14)

Efficient LLM Deployment and Serving Meetup - Oct 16, 2024

(2:26:31)

What is Prompt Tuning?

(8:33)

Efficient Streaming Language Models with Attention Sinks (Paper Explained)

(32:27)

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper)

(53:2)

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

(28:39)

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

(54:35)