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Generative AI Key Terms Explained

Data AnalyticsDecember 5, 2023128Views 0Likes 0Comments

Image by Author In the past few years, and especially since the appearance of ChatGPT just over 12 months ago, generative AI models for creating realistic synthetic text, images, video, and audio have emerged and have been rapidly advancing since. What began as humble research quickly developed into systems with the capacity to generate…

Stability AI Introduces Adversarial Diffusion Distillation (ADD): The Groundbreaking Method for High-Fidelity, Real-Time Image Synthesis in Minimal Steps

AI NewsDecember 5, 2023159Views 0Likes 0Comments

In generative modeling, diffusion models (DMs) have assumed a pivotal role, facilitating recent progress in producing high-quality picture and video synthesis. Scalability and iterativeness are two of DMs’ main advantages; they enable them to do intricate tasks like picture creation from free-form text cues. Unfortunately, the many sample steps required for the iterative inference process…

An early warning system for novel AI risks

OpenAIDecember 5, 2023132Views 0Likes 0Comments

Responsibility & Safety Published …

Data Engineering: A Formula 1-inspired Guide for Beginners | by Matteo Consoli | Dec, 2023

Data ScienceDecember 5, 2023132Views 0Likes 0Comments

A Glossary with Use Cases for First-Timers in Data Engineering An happy Data Engineer at workAre you a data engineering rookie interested in knowing more about modern data infrastructures? I bet you are, this article is for you! In this guide Data Engineering meets Formula 1. But, we’ll keep it simple. I strongly believe that…

What is the Accounting Cycle?

UncategorisedDecember 5, 2023160Views 0Likes 0Comments

The accounting cycle, often called the month-end close by accounting and FP&A teams, is an 8-step process that takes place on a monthly basis. Because of the well-established steps of the accounting cycle, the process serves as a critical checks and balances exercise for businesses and helps leadership solve major accounting problems today. It verifies…

Automated order processing: Boost efficiency

NanonetsDecember 4, 2023164Views 0Likes 0Comments

Whether running a B2B or B2C business, streamlining your order-to-cash (O2C) process can mean the difference between success and stagnation. A recent McKinsey study revealed that a shocking 3-5% of EBITDA often slips through cracks in the O2C process. That's cash you could be pocketing! Moreover, manual methods simply can't keep up with the experiences…

Introduction to Multithreading and Multiprocessing in Python

Data AnalyticsDecember 4, 2023168Views 0Likes 0Comments

Image by Author This tutorial will discuss leveraging Python’s capability to execute multithreading and multiprogramming tasks. They offer a gateway to perform concurrent operations within a single process or across multiple processes. Parallel and concurrent execution increases the speed and efficiency of the systems. After discussing the basics of multithreading and multiprogramming, we…

Researchers from Peking University and Microsoft Introduce COLE: An Effective Hierarchical Generation Framework that can Convert a Simple Intention Prompt into a High-Quality Graphic Design

AI NewsDecember 4, 2023130Views 0Likes 0Comments

Natural picture production is now on par with professional photography, thanks to a notable recent improvement in quality. This advancement is attributable to creating technologies like DALL·E3, SDXL, and Imagen. Key elements driving these developments are using the potent Large Language Model (LLM) as a text encoder, scaling up training datasets, increasing model complexity, better…

AlphaDev discovers faster sorting algorithms

OpenAIDecember 4, 2023154Views 0Likes 0Comments

Impact Published …

LLM and GNN: How to Improve Reasoning of Both AI Systems on Graph Data | by Anthony Alcaraz | Dec, 2023

Data ScienceDecember 4, 2023161Views 0Likes 0Comments

Graph neural networks (GNNs) and large language models (LLMs) have emerged as two major branches of artificial intelligence, achieving immense success in learning from graph-structured and natural language data respectively. As graph-structured and natural language data become increasingly interconnected in real-world applications, there is a growing need for artificial intelligence systems that can perform multi-modal…