In this article, you will learn how reranking improves the relevance of results in retrieval-augmented generation (RAG) systems by going beyond what retrievers alone can achieve.
Author Archive | Kanwal Mehreen
Everything You Need to Know About Recursive Language Models
In this article, you will learn what recursive language models are, why they matter for long-input reasoning, and how they differ from standard long-context prompting, retrieval, and agentic systems.
The Machine Learning Practitioner’s Guide to Model Deployment with FastAPI
Learn how to deploy machine learning models using FastAPI with practical code examples and production-ready features.
The Complete Guide to Data Augmentation for Machine Learning
Learn how to apply data augmentation techniques across images, text, audio, and tabular data to reduce overfitting.
How to Read a Machine Learning Research Paper in 2026
I spent years feeling exhausted and confused by research papers until I learned how researchers actually read them. This is that method.
Quantizing LLMs Step-by-Step: Converting FP16 Models to GGUF
Learn to run large AI models locally with just a few simple steps.
Top 5 Agentic AI LLM Models
Explore the top 5 LLM models powering autonomous AI agents in 2025, from OpenAI o1 to open-source alternatives.
The Roadmap for Mastering Agentic AI in 2026
Follow this step-by-step guide to learn agentic AI systems from prerequisites through deployment and specialization.
Everything You Need to Know About LLM Evaluation Metrics
Learn the key metrics and methods for evaluating large language models, from automated benchmarks to safety checks.
Build an Inference Cache to Save Costs in High-Traffic LLM Apps
In this article, you will learn how to add both exact-match and semantic inference caching to large language model applications to reduce latency and API costs at scale.