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3 Ways Vibe Coding and AI-Assisted Development Are 2 Different Things

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Vibe coding and AI-assisted development are two trendy terms in today's tech jargon.

Fine-Tuning DistilBERT for Question Answering

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This post is divided into three parts; they are: • Fine-tuning DistilBERT for Custom Q&A • Dataset and Preprocessing • Running the Training The...

10 Must-Know Python Libraries for LLMs in 2025

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Large language models (LLMs) are changing the way we think about AI.

The Roadmap for Mastering MLOps in 2025

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Organizations increasingly adopt machine learning solutions into their daily operations and long-term strategies, and, as a result, the need for effective standards for deploying...

Implementing Multilingual Translation with T5 and Transformers

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This post is divided into three parts; they are: • Setting up the translation pipeline • Translation with alternatives • Quality estimation Text translation...

Bias Detection in LLM Outputs: Statistical Approaches

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Natural language processing models including the wide variety of contemporary large language models (LLMs) have become popular and useful in recent years as their...

Building Q&A Systems with DistilBERT and Transformers

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This post is in three parts; they are: • Building a simple Q&A system • Handling Large Contexts • Building an Expert System Question...

6 Lesser-Known Scikit-Learn Features That Will Save You Time

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For many people studying data science,

6 Language Model Concepts Explained for Beginners

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Understanding what's happening behind large language models (LLMs) is essential in today's machine learning landscape.

Understanding Probability Distributions for Machine Learning with Python

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In machine learning, probability distributions play a fundamental role for various reasons: modeling uncertainty of information and data, applying optimization processes with stochastic settings,...