In this article, you will learn how to build efficient long-context retrieval-augmented generation (RAG) systems using modern techniques that address attention limitations and cost challenges.
Author Archive | Shittu Olumide
7 Machine Learning Trends to Watch in 2026
In this article, you will learn how machine learning is evolving in 2026 from prediction-focused systems into deeply integrated, action-oriented systems that drive real-world workflows.
5 Practical Techniques to Detect and Mitigate LLM Hallucinations Beyond Prompt Engineering
In this article, you will learn why large language model hallucinations happen and how to reduce them using system-level techniques that go beyond prompt engineering.
Agentify Your App with GitHub Copilot’s Agentic Coding SDK
Build your first agentic Python app using the GitHub Copilot SDK with tools, sessions, and multi-turn memory.
Choosing Between PCA and t-SNE for Visualization
Compare PCA and t-SNE for data visualization with practical Python code and best practices.
7 Advanced Feature Engineering Tricks Using LLM Embeddings
Learn seven practical techniques to convert LLM embeddings into targeted, high-signal features for better models.
3 Smart Ways to Encode Categorical Features for Machine Learning
In this article, you will learn three reliable techniques — ordinal encoding, one-hot encoding, and target (mean) encoding — for turning categorical features into model-ready numbers while preserving their meaning.
How to Fine-Tune a Local Mistral or Llama 3 Model on Your Own Dataset
Learn how to perform the same fine-tuning method on 2 different models to better compare and understand the process, and confidently move on to other models yourself.
3 Feature Engineering Techniques for Unstructured Text Data
In this article, you will learn practical ways to convert raw text into numerical features that machine learning models can use, ranging from statistical counts to semantic and contextual embeddings.
3 Ways to Speed Up Model Training Without More GPUs
In this article, we’ll look at three practical methods that consistently boost training performance without upgrading your hardware.