all AI news
What is Quantization
Oct. 3, 2023, 11 a.m. | Justin Goheen
Lightning AI lightning.ai
Introduction The aim of quantization is to reduce the memory usage of the model parameters by using lower precision types than your typical float32 or (b)float16. Using lower bit widths like 8-bit and 4-bit uses less memory compared to float32 (32-bit) and (b)float16 (16-bit). The quantization procedure does not simply trim the number of bits... Read more »
The post What is Quantization appeared first on Lightning AI.
16-bit aim articles blog introduction memory precision quantization reduce tutorials types usage
More from lightning.ai / Lightning AI
Lightning AI Joins AI Alliance To Advance Open, Safe, Responsible AI
4 months, 3 weeks ago |
lightning.ai
8-bit Quantization with Lightning Fabric
5 months, 2 weeks ago |
lightning.ai
4-Bit Quantization with Lightning Fabric
5 months, 4 weeks ago |
lightning.ai
Run Lightning Fabric with NVIDIA GPUs on OCI
6 months ago |
lightning.ai
Step-By-Step Walk-Through of Pytorch Lightning
6 months, 2 weeks ago |
lightning.ai
PyTorch Lightning for Dummies – A Tutorial and Overview
6 months, 2 weeks ago |
lightning.ai
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne