EnDepth Data

Introducing CulturaX: a 6.3 trillion-token multilingual dataset in 167 languages, meticulously cleaned and deduplicated for training high-performing LLMs.

CulturaX: A High-Quality, Multilingual Dataset for LLMs - Abstract and Introduction

The Stacks project has come a long way, originating at the dawn of Bitcoin. Initially known as OneName, the project's goal was to simplify BTC transfers.

What the Heck Is Stacks? An Indepth Look Into One of the Largest L2 in the Bitcoin Ecosystem

Content engineering is organizing the shape, structure, and application of content. Content engineering covers: model, metadata, markup, schema, taxonomy, 

An Indepth Look at Content Engineering and its Importance

An in-depth analysis of 1,355 GitHub Copilot issues reveals key problems, causes, and solutions—and what Copilot’s team should improve next.

Common Problems with GitHub Copilot (And How to Solve Them)

Your go‑to guide for understanding system design end‑to‑end—clear explanations of High‑Level and Low‑Level Design with everything you need to get started

The In‑Depth, Crystal‑Clear Roadmap to Learning System Design End‑to‑End (HLD & LLD)

Smaller, fine-tuned language models outperform larger ones in biomedical information retrieval, excelling in accuracy, relevance, and interpretability.

Why Smaller AI Models Are the Future of Domain-Specific NLP

Researchers at Beeble AI have developed a method for improving how light and shadows can be applied to human portraits in digital images.

New Framework by Beeble Researchers Promises to Bring Realistic Glow to Digital Portraits Using AI

We discuss the impact of the quality of the data on the retrievals in Section 4.3 and the systematic effects for the retrieval runs in Section 4.4.

Discussing the Impact of Our Exoplanet Study: How This Impacts Everything

Learn everything you need to know about Content Strategy via these 108 free HackerNoon stories.

108 Stories To Learn About Content Strategy

Learn everything you need to know about Technology via these 198 free HackerNoon stories.

198 Stories To Learn About Technology

Learn everything you need to know about Customer Experience via these 178 free HackerNoon stories.

178 Stories To Learn About Customer Experience

Let's take a look at an Indepth Technical Analysis of STARK, which is a proof system.

Oh Just a Stark Technical Analysis

<a href="https://www.liquid.com/">Crypto and Fiat Currency Exchange | Trade with Liquid.com</a>

The Liquid Platform: a world leading digital asset exchange built to provide liquidity to…

Civilization is in the process of rebooted itself — robot prejudices, military AI &amp; AI prediction errors, future war, digital dictators, political polarizations &amp; 2008 redux — and this brave new world is fraught with both old and new dangers.

News — At The Edge — 9/15

Machine learning is part art and part science. When you look at machine learning algorithms, there is no one solution or one approach that fits all. There are several factors that can affect your decision to choose a machine learning algorithm.

Choosing the Right Machine Learning Algorithm

Microservice architecture has been adopted by software teams as a way to deliver business value faster. Container technology enables delivery of microservices into any environment. <a href="https://hackernoon.com/tagged/docker" target="_blank">Docker</a> has accelerated this by providing an easy to use toolset for development teams to build, ship, and run distributed applications. These applications can be composed of hundreds of microservices packaged in Docker containers.

Network emulation for Docker containers

Flamegraphs can be a valuable tool in helping you debug your application’s performance woes. But they can be pretty overwhelming when you’re using it for the first time, especially when you’re dealing with complex Rails applications with a lot of things going on inside of it.

Making sense out of flamegraphs

A comprehensive software platform that will bring clarity to your profit margins

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