Видео с ютуба Optimisation Llm

RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models

Context Optimization vs LLM Optimization: Choosing the Right Approach

Optimize Your AI - Quantization Explained

Deep Dive: Optimizing LLM inference

LLM Optimization vs Context Optimization: Which is Better for AI?

Optimize Your AI Models

Mastering LLM Inference Optimization From Theory to Cost Effective Deployment: Mark Moyou
![LLM Optimization Techniques You MUST Know for Faster, Cheaper AI [TOP 10 TECHNIQUES]](https://ricktube.ru/thumbnail/iAfAXS1PRNU/mqdefault.jpg)
LLM Optimization Techniques You MUST Know for Faster, Cheaper AI [TOP 10 TECHNIQUES]

EP#4 AI Engineering Essentials From Models to Applications on EEAI

"Эффективные модели и оптимизация LLM". Лекция Егора Швецова

Implementation and optimization of MTP for DeepSeek R1 in TensorRT-LLM

Quantization vs Pruning vs Distillation: Optimizing NNs for Inference

LLM inference optimization: Architecture, KV cache and Flash attention

Beyond fine tuning: Approaches in LLM optimization

LangWatch LLM Optimization Studio

LLM inference optimization

5 Steps to Optimize Your Site for AI Search

Proximal Policy Optimization (PPO) for LLMs Explained Intuitively

Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning