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Generative AI – The End of Empty Textboxes

TechEmpower

Applying that solution to our job matching site made perfect sense. That’s why we’re planning on building most of our sites this way in the future. Profile Blurbs and Writing Prompts Let’s look at our job matching site in more detail. tew_cta text="Want to learn how TechEmpower can help you fill textboxes with GPT?"]

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Frameworks Round 6

TechEmpower

The results web site has been improved with test-type and hardware-type navigation, allowing you to share links to a specific results chart, such as Round 6, Fortunes on EC2. By popular demand, Round 6 introduces a plaintext test that uses HTTP pipelining, implemented in 14 frameworks so far.

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Think about Performance Before Building a Web Application

TechEmpower

A high-performance application will be able to service a large number of requests simultaneously, staying ahead of the incoming demand so that any short-term queuing of requests remains short-term. Many of us at TechEmpower are interested in performance and how it affects user experience. High throughput.

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How to Use Generative AI and LLMs to Improve Search

TechEmpower

Recipe Suggestions for Culinary Sites For culinary platforms or recipe websites, user searches can be incredibly varied, given the diverse range of ingredients and dietary preferences. This nuanced approach can cater to the most specific of viewer moods and preferences, ensuring a seamless entertainment experience.

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EnumSet and EnumMap

TechEmpower

This is especially true for maps like EnumMap that create their Entry objects on demand. If adding a new type causes some call site to become megamorphic , we might have thrown their carefully-crafted assumptions regarding performance out the window. Write a benchmark afterwards to confirm your assumptions.

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