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Quantization vs Pruning vs Distillation: Optimizing NNs for Inference

Efficient NLP

Try Voice Writer - speak your thoughts and let AI handle the grammar: https://voicewriter.io Four techniques to optimize the speed ...

LLM Compression Explained: Build Faster, Efficient AI Models

IBM Technology

Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam ...

Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python)

codebasics

Are you planning to deploy a deep learning model on any edge device (microcontrollers, cell phone or wearable device)?

Knowledge Distillation Explained | AI Model Compression Tutorial

Richard Aragon

Knowledge Distillation Explained | AI Model Compression Tutorial In this video, you'll learn Knowledge Distillation, a powerful ...

Model Compression

Microsoft Research

Accurate models often are complex models. For example, ensembles often contain 100's or 1000's of base-level classifiers.

Model Compression Explained: Making AI Smaller & Faster 🚀

CodeLucky

Ever wonder how powerful AI models can run on your smartphone? The secret is Model Compression! In this video, we break ...

Compressing Large Language Models (LLMs) | w/ Python Code

Shaw Talebi

Your team not maximizing Claude? I run 1:1 and team AI workshops for companies doing $10M+ per year: ...

[Part 1] A Crash Course on Model Compression for Data Scientists

Prolego

Deep learning models are wildly effective at solving complex problems using unstructured data. Unfortunately, these models are ...

How LLMs survive in low precision | Quantization Fundamentals

Julia Turc

In this video, we discuss the fundamentals of model quantization, the technique that allows us to run inference on massive LLMs ...

Model Compression

Atul Kumar

This video explores the model compression techniques for deep learning models and their uses in resource-constrained ...

Network Compression (1/6)

Hung-yi Lee

Model Compression & Optimization: Making AI Models Faster | #GirlsWhoML

Mentor Me Collective and GirlsWhoML

How do you take a state-of-the-art AI model and make it small enough, fast enough, and cheap enough to actually ship?

Privacy-First AI Beyond the Cloud: Small Language Models, Compression & On-Prem Inference (Panel)

Merantix AI Campus

"Beyond the Cloud" Building privacy-first AI in 2026 means making hard trade-offs: latency, cost, sovereignty, and real enterprise ...

Pruning and Model Compression

NPTEL-NOC IITM

Pruning and Model Compression.

Model Compression: Optimize VLM Inference with These Techniques

FranksWorld of AI

Model compression slashes compute, memory, and bandwidth needs without sacrificing accuracy. Quantization, pruning ...

Understanding Model Quantization and Distillation in LLMs

AppliedAI

Learn how model quantization and distillation—two key techniques for large model compression—help reduce costs and improve ...

Deep Compression, DSD Training and EIE

Microsoft Research

Deep Compression, DSD Training and EIE: Deep Neural Network Model Compression, Regularization and Hardware ...

Model Compression

Cadence Design Systems

Cadence Tensilica Neural Network software toolchain supports many of the libraries and standards to compress your models.

036 Model Compression | LLM concepts under 60 seconds | Model Optimization and Efficiency

Tensor Trend

Want to stay updated on the latest AI advancements? Subscribe here: ...

CS480/680 Lecture 6: Model compression for NLP (Ashutosh Adhikari)

Pascal Poupart

... towards this particular problem of model compression so with with the rise of deep neural networks what has been happening is ...