
Articles
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2 weeks ago |
rac1.cat | Josep María Ferrer
Catalunya recupera la normalitat després de la gran apagada general de dilluns. També a la xarxa de Rodalies, on ja funciona el servei a la majoria de línies, tot i que alguns trens continuen fent la guitza als viatgers i poden circular fora de l'horari habitual. Segons informa Renfe, el servei funciona amb normalitat excepte a l'R3 entre Ripoll i l'Hospitalet, on es gestiona servei alternatiu per carretera entre Puigcerdà i Ripoll, i a l'R4 Sud entre els Monjos i L'Arboç.
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3 weeks ago |
kdnuggets.com | Josep María Ferrer
Enhance language models with real-time document retrieval and dynamic knowledge integration using retrieval-augmented generation and LlamaIndex. Large language models (LLMs) like ChatGPT and Llama excel at answering questions but are limited to the knowledge they were trained on. They can't access private data or learn beyond their training cut-off. So, the main is... how can we extend their knowledge? The answer lies in retrieval-augmented generation (RAG).
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1 month ago |
kdnuggets.com | Josep María Ferrer
By, KDnuggets AI Content Specialist on March 26, 2025 in Language ModelsCheck out this step-by-step guide to building a speech-to-text system with PyTorch & Hugging Face. Automatic speech recognition (ASR) is a crucial technology in many applications, from voice assistants to transcription services. In this tutorial, we aim to build an ASR pipeline capable of transcribing speech into text using pre-trained models from Hugging Face.
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Feb 11, 2025 |
kdnuggets.com | Josep María Ferrer
By, KDnuggets AI Content Specialist on February 11, 2025 in PythonIn this article, I will introduce you to 10 little-known Python libraries every data scientist should know. Python remains a key resource in any data scientist's toolset. One of its main advantages is the limitless amount of available libraries to enhance your workflows: Pandas, Numpy, Matplotlib, Scikit-learn... the list goes on and on.
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Feb 4, 2025 |
kdnuggets.com | Josep María Ferrer
By, KDnuggets AI Content Specialist on February 4, 2025 in PythonUnlock Python's efficiency with generators: process large datasets seamlessly and build infinite sequences effortlessly. Discover how lazy evaluation can elevate your code's performance. When working with Python, you’ll often need to process large datasets — like reading massive log files, handling API responses, or even generating infinite sequences. Tackling such tasks without overwhelming your computer’s memory can be challenging.
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