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Dive Into Tokenization, Attention, and Key-Value Caching

DZone

One powerful technique to address this challenge is k ey-value caching (KV cache). In this article, we will delve into how KV caching works, its role within the attention mechanism, and how it enhances efficiency in LLMs.

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Enhanced Query Caching Mechanism in Hibernate 6.3.0

DZone

Efficient query caching is a critical part of application performance in data-intensive systems. Hibernate has supported query caching through its second-level cache and query cache mechanisms. released in December 2024, addresses these problems by introducing enhanced query caching mechanisms. Hibernate 6.3.0,

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Creating a Web Project: Caching for Performance Optimization

DZone

Caching is arguably one of the most effective and widely used methods for accelerating your application. In one of the previous articles on identifying issues in your project, Creating a Web Project: Key Steps to Identify Issues, we discussed how to analyze application performance and how collecting metrics can assist in this task.

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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

Caching them at the other end: How long should we cache files on a user’s device? Cache This is the easy one. Caching is something I’ve been a little obsessed with lately , but for static assets as we’re discussing today, we don’t need to know much other than: cache everything as aggressively as possible.

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Implementation of the REDIS Cache in the.NET Core API

DZone

In this article, I cover caching and how it works in.NET Core. So, we look at the following things one by one: Introduction of Caching What is Cache? Types of Cache Installation of REDIS Cache Cache Implementation So, let’s get started!

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Why Replace External Database Caches?

DZone

Teams often consider external caches when the existing database cannot meet the required service-level agreement (SLA). However, external caches are not as simple as they are often made out to be. This is a clear performance-oriented decision.

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Scaling DevOps With NGINX Caching: Reducing Latency and Backend Load

DZone

In large-scale companies with huge DevOps environments, caching isnt just an optimization its a survival strategy. A well-architected caching strategy can mitigate these challenges by reducing unnecessary backend load and improving request efficiency."

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