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A guide to Accounts Payable (AP) Reports & Reporting in 2024

UncategorisedJanuary 9, 2024143Views 0Likes 0Comments

Accounts payable reports are one of many business intelligence tools that are rapidly changing as digital AP transformation fully affects accounting and bookkeeping. Accounts payable reporting describes the entire range of transaction logging through and with your existing AP infrastructure – a necessary task but daunting if your firm is scaled enough to manage…

Accounts Payable vs. Notes Payable

NanonetsJanuary 9, 2024162Views 0Likes 0Comments

As the saying goes, in business, you have to spend money to make money. Although the gravity of business expenditures might not be fully realized until you’re actually up and running, businesses at every stage spend money on a daily basis. Rent, payroll, new machinery, office equipment, and raw materials are just a few different…

Can Data Governance Address AI Fatigue?

Data AnalyticsJanuary 9, 2024146Views 0Likes 0Comments

Image by Author Data Governance and AI fatigue sound like two different concepts, but there is an intrinsic connection between the two. To understand it better, let’s start with their definition. It has been the core focus of the data industry for a long time. Google puts it well – “Data…

Researchers from the University of Tubingen Propose SIGNeRF: A Novel AI Approach for Fast and Controllable NeRF Scene Editing and Scene-Integrated Object Generation

AI NewsJanuary 9, 2024139Views 0Likes 0Comments

Neural Radiance Fields (NeRF) have revolutionized how everyone approaches 3D content creation, offering unparalleled realism in virtual and augmented reality applications. However, editing these scenes has been complex and cumbersome, often requiring intricate processes and yielding inconsistent results. The current landscape of NeRF scene editing involves a range of methods that, while effective in certain…

On the Expressivity of Markov Reward

OpenAIJanuary 9, 2024142Views 0Likes 0Comments

Reward is the driving force for reinforcement learning (RL) agents. Given its central role in RL, reward is often assumed to be suitably general in its expressivity, as summarized by Sutton and Littman’s reward hypothesis: In our work, we take first steps toward a systematic study of this hypothesis. To do so, we…

Moving Earth, Word, and Concept. Distance as a measure of difference | by Danielle Boccelli | Jan, 2024

Data ScienceJanuary 9, 2024153Views 0Likes 0Comments

Photo by Nadine Shaabana on UnsplashDistance as a measure of difference This article discusses three measures of distance: (1) the Earth Mover’s Distance (EMD; Rubner et al., 1998); (2) the Word Mover’s Distance (WMD; Kusner et al., 2015); and (3) the Concept Mover’s Distance (CMD; Stoltz & Taylor, 2019). These measures build on one another…

What is bank reconciliation? Definition, examples, and process

UncategorisedJanuary 9, 2024127Views 0Likes 0Comments

Bank Reconciliation is the process of matching the company's cash books to the bank statement. The aim is to ensure all transactions are accurately recorded in the company's cashbooks and to find any errors or fraud. Reconciliation includes matching the company’s balance sheet, income statement, bank statements, and expenses. Having an accurate set of financial…

Phi-2: Small LMs that are Doing Big Things

Data AnalyticsJanuary 9, 2024137Views 0Likes 0Comments

Image by Author Before we get into the amazing things about Phi-2. If you haven’t already learnt about phi-1.5, I’d advise you to have a quick skim over what Microsoft had in the works a few months ago Effective Small Language Models: Microsoft’s 1.3 Billion Parameter phi-1.5. Now you have the foundations, we…

This AI Paper from Victoria University of Wellington and NVIDIA Unveils TrailBlazer: A Novel AI Approach to Simplify Video Synthesis Using Bounding Boxes

AI NewsJanuary 9, 2024129Views 0Likes 0Comments

Advancements in generative models for text-to-image (T2I) have been dramatic. Recently, text-to-video (T2V) systems have made significant strides, enabling the automatic generation of videos based on textual prompt descriptions. One primary challenge in video synthesis is the extensive memory and training data required. Methods based on the pre-trained Stable Diffusion (SD) model have been proposed…

Improving language models by retrieving from trillions of tokens

OpenAIJanuary 9, 2024150Views 0Likes 0Comments

In recent years, significant performance gains in autoregressive language modeling have been achieved by increasing the number of parameters in Transformer models. This has led to a tremendous increase in training energy cost and resulted in a generation of dense “Large Language Models” (LLMs) with 100+ billion parameters. Simultaneously, large datasets containing trillions of words…