Archive | Machine Learning Resources

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5 Python Libraries to Build an Optimized RAG System

Retrieval augmented generation (RAG) has become a vital technique in contemporary AI systems, allowing large language models (LLMs) to integrate external data in real time. This approach empowers models to ground their responses in precise information extracted from relevant sources, leading to better performance in tasks such as question-answering, summarization, and content generation. By augmenting […]

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5 of the Most Influential Machine Learning Papers of 2024

Artificial intelligence (AI) research, particularly in the machine learning (ML) domain, continues to increase the amount of attention it receives worldwide. To give you an idea of the scientific hype around AI and ML, the number of works uploaded to the open-access pre-print archive ArXiv has nearly doubled since late 2023, with over 30K AI-related […]

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5 Tools for Visualizing Machine Learning Models

Machine learning (ML) models are built upon data. They are like the ready-to-use artifacts resulting from making sense of a dataset to uncover patterns, make predictions, or automate decisions. Whilst visualizing data is undoubtedly important across many data science processes like exploratory analysis and feature engineering, the idea of visualizing an ML model is not […]

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