The focus has shifted towards multimodal Large Language Models (MLLMs), particularly in enhancing their processing and integrating multi-sensory data in the evolution of AI. This advancement is crucial in mimicking human-like cognitive abilities for complex real-world interactions, especially when dealing with rich visual inputs.
A key challenge in the current MLLMs is their need for…
Not to pick on Sebastian Bubeck in particular, but if auto-complete-on-steroid can “blow his mind,” imagine the effects on the average user. Developers and data practitioners use LLMs every day to generate code, synthetic data, and documentation. They too can be misled by inflated capabilities. It’s when humans over-trust their tools that mistakes happen. TL;DR:…
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…
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…
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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…
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…
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…
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…
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…
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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…