@tmleyncodes
Machine Learning Engineer | Cognitive AI | Learning Quantum Machine Learning
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Research and Mentoring
Jun 13, 2024 · 2 min read · Introduction In the realm of programming languages, Python's NumPy library stands as a cornerstone for scientific computing, renowned for its powerful array manipulation capabilities. However, when it comes to environments demanding efficiency and mi...
Join discussionMay 18, 2024 · 4 min read · Introduction Overview of Retrieval-Augmented Generation (RAG) Retrieval-augmented generation (RAG) represents a significant advancement in natural language processing, blending the strengths of information retrieval and language generation. This appr...
Join discussionApr 17, 2023 · 5 min read · In recent years, deep learning has revolutionized the field of machine learning, and one of the most significant advancements has been the development of Siamese neural networks. Siamese neural networks are neural networks used for various tasks such...
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Apr 13, 2023 · 6 min read · Generative Adversarial Networks (GANs) are a type of deep neural network architecture used for generating new data samples that are similar to a given dataset. GANs consist of two neural networks, a generator and a discriminator, which are trained in...
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Apr 12, 2023 · 3 min read · Vector databases are a type of database that is specifically designed to store and manage vector data. Vector data is a type of geospatial data that represents features and objects as points, lines, and polygons with specific spatial coordinates. Exa...
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