Quantization in Deep Learning (LLMs)

Learn Fine Tuning LLMs in 2 hours | RAGs vs Fine Tuning | Quantization | PEFT TechniquesПодробнее

Session 55 - Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman CodingПодробнее

The Secret to Smaller, Faster AI: LLM Quantization Explained!Подробнее

Pruning vs. Quantization: Why Training Matters (AI Optimization)Подробнее

LLM Optimization Techniques You MUST Know for Faster, Cheaper AI (2025 Top 10 Guide)Подробнее

BitNet.cpp: Powering LLMs on Edge DevicesПодробнее

LLM Quantization ExplainedПодробнее

4-Bit Training for Billion-Parameter LLMs? Yes, Really.Подробнее

Albert Tseng - Training LLMs with MXFP4Подробнее

Quantization paper explained || How it reduces computation and makes LLM training efficientПодробнее

What is LLM Quantization ?Подробнее

Как 32bit уместить в 4bit? #ai #deeplearning #machinelearning #optimization #32bitПодробнее

Quantization Aware Training #ai #datascience #deeplearning #machinelearning #deepseek #quantizationПодробнее

Квантизация Flappy Bird, сравнение с оригиналом #ai #quantization #chatgpt #deeplearning #llmПодробнее

LLM Quantization: Making AI Models 4x Smaller Without Losing PerformanceПодробнее

[Unsloth Puzzle 2] NF4 4-bit Quantization & Dequantization ExplainedПодробнее

ACM AI | Compressing LLMs for Efficient Inference | Reading Group W25W6Подробнее

ParetoQ: Scaling Laws in Extremely Low-bit LLM QuantizationПодробнее

LLMs Unleashed: Code, Quantization, & PlanningПодробнее

DeepSeek R1: Distilled & Quantized Models ExplainedПодробнее