In Git We Trust: Git for Data over Data Lakes
In the world of data engineering and analytics, the way we store, manage, and collaborate on data is rapidly evolving. […]
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ChatGPT Is Poisoning Your Brain…
Is artificial intelligence, specifically ChatGPT, really poisoning your brain? The phrase is sensational, but it touches on genuine concerns about
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Fine-Tuning Language Models for Text Classification: A Deep Practical Guide
Text classification is one of the most widely used Natural Language Processing (NLP) tasks, powering everything from spam detection to
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Inheritance: A Software Engineering Concept Data Scientists Must Know To Succeed
Introduction When it comes to data science, the spotlight is usually on statistics, machine learning, and data wrangling techniques. However,
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Veena — Text to Speech for Indian Languages: A Comprehensive Guide
Veena is revolutionizing the way Indian languages are accessed and understood through technology. Powered by deep learning and artificial intelligence,
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Inference As Interference: How LLMs Collide Semantic Waves To Create Meaning
In the world of artificial intelligence, language models like GPT-4, Gemini, and others have drastically changed our understanding of how
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Danny’s Eliza: The Origin of AI Chatbots
Danny’s Eliza is a fascinating piece of computer history that marks one of the earliest milestones in the development of
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Chunking Strategies for Retrieval-Augmented Generation (RAG) Applications
In the realm of Retrieval-Augmented Generation (RAG) applications, the way data is divided and processed significantly impacts the quality of
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Reinforcement Learning from Human Feedback (RLHF) Explained
Reinforcement Learning from Human Feedback (RLHF) Reinforcement Learning from Human Feedback (RLHF) is a technique used to improve1 the performance
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