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initialcommit.com | ||
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www.analyticsvidhya.com
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| | | | | Interpretable machine learning is key to understanding how machine learning models work. In this article learn about LIME and python implementation of it. | |
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www.rasulkireev.com
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| | | | | In this post we are going to apply some basic machine learning on our clean dataset. We are going to focus on using Scikit Learn | |
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coornail.net
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| | | | | Neural networks are a powerful tool in machine learning that can be trained to perform a wide range of tasks, from image classification to natural language processing. In this blog post, well explore how to teach a neural network to add together two numbers. You can also think about this article as a tutorial for tensorflow. | |
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www.jamesserra.com
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| | | [AI summary] The article provides an in-depth overview of OpenAI and Large Language Models (LLMs), discussing their architecture, applications, and integration into business processes. It also explores Microsoft's ecosystem of AI tools, including Azure OpenAI Studio, Azure AI Studio, and Microsoft Copilot Studio, highlighting their distinct roles in AI development and deployment. The piece emphasizes the importance of leveraging LLMs for tasks such as natural language processing, content generation, and data analysis, while also addressing the challenges and considerations in implementing these technologies. Additionally, it touches on the use of Retrieval-Augmented Generation (RAG) techniques to enhance the capabilities of LLMs by incorporating external dat... | ||
