What is quantization?

Quantization, in the context of signal processing and machine learning, is the process of reducing the number of bits used to represent a number. It's commonly used to compress data, reduce model size, and accelerate computation, especially in deep learning models, by converting floating-point numbers to lower-precision integers (e.g., 8-bit integers).

Find 178 organizations using quantization on Sumble →

What other technologies are related to quantization?

quantization Complementary Technologies

pruning

Pruning is a model compression technique that reduces the size of a neural network by removing unimportant connections or neurons, often used in conjunction with quantization.

model compression

Model compression is a broader category that includes quantization as one of its techniques to reduce the size and complexity of models.

knowledge distillation

Knowledge distillation is a model compression technique where a smaller model is trained to mimic the behavior of a larger, more complex model. It complements quantization by potentially reducing the size of the model before quantization is applied, or mitigating accuracy loss post quantization.

Number of organizations that mention technology

knowledge distillation

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Which job functions commonly mention quantization?

AI Engineer

0.1% of all AI Engineer jobs mention quantization

View 119 jobs on Sumble

Machine Learning

0.1% of all Machine Learning jobs mention quantization

View 108 jobs on Sumble

Applied Scientist

0.1% of all Applied Scientist jobs mention quantization

View 10 jobs on Sumble

Research Scientist

12 Research Scientist jobs mention quantization

View 12 jobs on Sumble

Data Scientist

53 Data Scientist jobs mention quantization

View 53 jobs on Sumble

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Which organizations are mentioning quantization?

Qualcomm

Scientific and Technical Services

8 team
mention quantization

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3 people
use quantization

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