Large Language Models (LLMs) have revolutionised natural language processing, demonstrating an uncanny ability to generate human-quality text, translate languages, write different kinds of creative content, and answer your questions in …
Category:
Machine Learning
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CodingMachine Learning
Guide To Building AI Agents with Llama 3.3 and Phi Data
by Sharath Gby Sharath GCreating an AI agent can seem complex, but with the Lama 3.3 open-source LLM and the Phi Data framework, it’s easier than ever to build powerful, customizable AI tools. In …
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Data ScienceMachine Learning
Vlogger – Breathing Life Into Static Images through AI
by Sharath Gby Sharath GThe realm of artificial intelligence (AI) continues to push boundaries, and Google’s Vlogger AI proposed by Google Researcher is a prime example. This innovative technology bridges the gap between static …
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Data ScienceMachine Learning
50 Most Important Questions To Understand On Spark – Part 1
by Sharath Gby Sharath GApache Spark is a widely used distributed processing framework for large-scale data processing. A thorough understanding of Spark’s functionalities is crucial for effective utilization. This blog post series explores 50 …
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Data ScienceMachine Learning
A Comprehensive Data Science Roadmap for Aspiring Professionals
by Sharath Gby Sharath GThe realm of data science, with its potent blend of statistics, programming, and domain expertise, has emerged as a sought-after skillset in the modern landscape. Whether you’re a seasoned professional …
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In NumPy, the seed function, specifically numpy.random.seed(), plays a crucial role in generating pseudo-random numbers. While computers cannot generate true randomness, they use algorithms to produce sequences of numbers that …