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Intuition, algorithm and code for using ALEs to explain machine learning modelsContinue reading on Towards Data Science » Source link
Video understanding is one of the evolving areas of research in artificial intelligence (AI), focusing on enabling machines to comprehend and analyze visual content. Tasks like…
Large Language Models (LLMs) such as ChatGPT have attracted a lot of attention since they can perform a wide range of activities, including language processing, knowledge…
Large Language Models are amazing, but for many production problems, simpler techniques are faster, cheaper, and just as…Continue reading on Towards Data Science » Source link
Transformer-based neural networks have shown great ability to handle multiple tasks like text generation, editing, and question-answering. In many cases, models that use more parameters show…
For over 5 decades now, optical character recognition or OCR software has most commonly been used to digitize files and paper documents. OCR applications can convert…
State-space models (SSMs) are crucial in deep learning for sequence modeling. They represent systems where the output depends on both current and past inputs. SSMs are…
Customer relationship management (CRM) software is a crucial tool for small businesses in any industry. These platforms help you track your sales, churn rate and other…
Implement an encoder-decoder recurrent network from scratchKeras 3.0 Tutorial: End-to-End Deep Learning Project Guide. Image by AuthorEven though I started using Pytorch a while ago, I…
How physics principles give us deeper insights into our dataBehind every data is a physical event in space and time (Photo by Alina Grubnyak on Unsplash)As…