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

Data ScienceJanuary 9, 2024181Views 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, 2024155Views 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, 2024167Views 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, 2024161Views 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, 2024181Views 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…

From Adaline to Multilayer Neural Networks | by Pan Cretan | Jan, 2024

Data ScienceJanuary 9, 2024187Views 0Likes 0Comments

Setting the foundations right Photo by Konta Ferenc on UnsplashIn the previous two articles we saw how we can implement a basic classifier based on Rosenblatt’s perceptron and how this classifier can be improved by using the adaptive linear neuron algorithm (adaline). These two articles cover the foundations before attempting to implement an artificial neural…

Key differences, Role & Types

NanonetsJanuary 8, 2024171Views 0Likes 0Comments

Tracking a sale from start to finish helps businesses maintain the right inventory levels, implement the best cash flow tactics, and ensure customers are receiving the right products. Since most businesses are monitoring multiple sales at once, keeping an accurate record of every step along the way is crucial. Regardless of the business type, operating…

A/B Testing: A Comprehensive Guide

Data AnalyticsJanuary 8, 2024167Views 0Likes 0Comments

A/B testing, also known as “split testing” or “randomized controlled trial” is a method of comparing two versions of a web page, app, or other product to see which one performs better. The basic idea of A/B testing is to divide your users into two groups: group A and group B. Group A (control variant)…

A New MIT Research Announces a Vision Check-Up for Language Models

AI NewsJanuary 8, 2024188Views 0Likes 0Comments

The study investigates how text-based models like LLMs perceive and interpret visual information in exploring the intersection of language models and visual understanding. The research ventures into uncharted territory, probing the extent to which models designed for text processing can encapsulate and depict visual concepts, a challenging area considering the inherent non-visual nature of these…

Language modelling at scale: Gopher, ethical considerations, and retrieval

OpenAIJanuary 8, 2024181Views 0Likes 0Comments

Responsibility & Safety Published …