Machine Learning Mastery

A Gentle Introduction to Learning Rate Schedulers

Ever wondered why your neural network seems to get stuck during training, or why...

Roadmap to Python in 2025

Python has evolved from a simple scripting language to the backbone of modern da...

Custom Fine-Tuning for Domain-Specific LLMs

Fine-tuning a large language model (LLM) is the process of taking a pre-trained ...

Advanced Techniques to Build Your RAG System

This post is divided into three parts; they are: • Query Expansion and Reformula...

5 Problems Encountered Fine-Tuning LLMs with Solutions

Fine-tuning remains a cornerstone technique for adapting general-purpose pre-tra...

7 Emerging Trends in Generative AI and Their Real-World...

Generative AI continues to rapidly evolve, reshaping how industries create, oper...

Automate Dataset Labeling with Active Learning

A few years ago, training AI models required massive amounts of labeled data.

Zero-Shot and Few-Shot Learning with Reasoning LLMs

As large language models have already become essential components of so many rea...

Creating a Secure Machine Learning API with FastAPI and...

Machine learning models deliver real value only when they reach users, and APIs ...

Attention May Be All We Need… But Why?

A lot (if not nearly all) of the success and progress made by many generative AI...

How to Combine Pandas, NumPy, and Scikit-learn Seamlessly

Machine learning workflows require several distinct steps — from loading and pre...

Let’s Build a RAG-Powered Research Paper Assistant

In the era of generative AI, people have relied on LLM products such as ChatGPT ...

5 Lessons Learned Building RAG Systems

Retrieval augmented generation (RAG) is one of 2025's hot topics in the AI lands...

Generating and Visualizing Context Vectors in Transformers

This post is divided into three parts; they are: • Understanding Context Vectors...

Applications with Context Vectors

This post is divided into two parts; they are: • Contextual Keyword Extraction •...

Quantization in Machine Learning: 5 Reasons Why It Matt...

Quantization might sound like a topic reserved for hardware engineers or AI rese...

Detecting & Handling Data Drift in Production

Machine learning models are trained on historical data and deployed in real-worl...

Further Applications with Context Vectors

This post is divided into three parts; they are: • Building a Semantic Search En...

Understanding Text Generation Parameters in Transformers

This post is divided into seven parts; they are: - Core Text Generation Paramete...

10 Must-Know Python Libraries for Machine Learning in 2025

Python is one of the most popular languages for machine learning, and it’s easy ...

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