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- Quantization (signal processing) - Wikipedia
In mathematics and digital signal processing, quantization is the process of mapping input values from a large set (often a continuous set) to output values in a (countable) smaller set, often with a finite number of elements Rounding and truncation are typical examples of quantization processes
- What is Quantization - GeeksforGeeks
Quantization is a model optimization technique that reduces the precision of numerical values such as weights and activations in models to make them faster and more efficient
- What Is Quantization? | How It Works Applications
Quantization is the process of mapping continuous infinite values to a smaller set of discrete finite values In the context of simulation and embedded computing, it is about approximating real-world values with a digital representation that introduces limits on the precision and range of a value
- Quantization Explained: Why the Same LLM Gives Better Results on High . . .
Quantization: the same model with lower precision A quantized model is the exact same model — with the same architecture and the same number of parameters — stored and run at a lower numerical precision
- What is Quantization and Why It Matters for AI Inference?
Among many optimization techniques to improve AI inference performance, quantization has become an essential method when deploying modern AI models into real-world services
- What is quantization in machine learning? - Cloudflare
What is quantization in machine learning? Quantization is a technique for lightening the load of executing machine learning and artificial intelligence (AI) models It aims to reduce the memory required for AI inference Quantization is particularly useful for large language models (LLMs)
- What is a Quantization? - byteplus. com
Quantization is a process of converting a continuous set of values (like all the possible real - number values) into a discrete set In simple terms, it's like taking a wide range of possibilities and breaking them down into a smaller, more manageable number of distinct values
- Signal Quantization and Compression Overview
This can be achieved via quantization Quantization is a nonlinear and irreversible operation that maps a given amplitude x (n) at time t=nT into a value xn, that belongs to a finite set of values
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