Natural Language Processing (NLP) is one area where Large transformer-based Language Models (LLMs) have achieved remarkable progress in recent years. Also, LLMs are branching out into other fields, like robotics,…
This blog post shows how to easily run an LLM locally and how to set up a ChatGPT-like GUI in 4 easy steps. Photo by Liudmila Shuvalova on UnsplashThanks to…
Intercompany reconciliation is specific to companies with multiple subsidiaries under the same parent group. It's a crucial step in the intercompany accounting process and for preparing a consolidated statement for…
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In the relentless pursuit of innovation and securing a competitive advantage, businesses are progressively harnessing the power of artificial intelligence (AI) as a transformative…
Foundational models are large deep-learning neural networks that are used as a starting point to develop effective ML models. They rely on large-scale training data and exhibit exceptional zero/few-shot performance…
How Neural Networks are strong tools for solving differential equations without the use of training data Photo by Linus Mimietz on UnsplashDifferential equations are one of the protagonists in physical…
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Generative AI is growing, with more people interested in how they can transition into the AI sector. A big hit at the moment and if…
Text-to-image (T2I) generation is a rapidly evolving field within computer vision and artificial intelligence. It involves creating visual images from textual descriptions blending natural language processing and graphic visualization domains.…
A step-by-step illustration of how to use SOLID to solve a refactoring challenge Photo by Lucas Davies on UnsplashIntroduction Code refactor challenges are well-known by software engineers, but less so…
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If you’re a data professional, you’re probably familiar with the data lake architecture. A data lake can store large volumes of raw and unstructured data.…