RAG 101: Retrieval Augmented GenerationAn introduction about RAG and an overview of the RAG pipeline/workflow.Mar 27Mar 27
No more Resolutions, maybe Goals.It’s 2025 — a new year, a new opportunity to make new and not-so-new resolutions again.Jan 2Jan 2
Writing in the Age of AI — my plan to start writing againWhat can I write about when information is easily accessible with AI in today’s day and age?Dec 18, 2024Dec 18, 2024
TinyStories: A Tiny Dataset with Big ImpactA big leap towards feasible Small Language Models (SLMs).May 24, 2023May 24, 2023
Fine-Tuning Your Multi-Layer Perceptron: Testing the Impact of Model ParametersSimple automated testing and analysis of the effect of different tuning parameters on a baseline Multi-Layer Perceptron.Apr 24, 2023Apr 24, 2023
The Productivity Myth: Debunking 5 Common MisconceptionsProductivity is interpreted differently by different people, these are 5 things the majority get wrong.Apr 17, 2023Apr 17, 2023
A Quick Overview of Segment AnythingMy high-level understanding of the Segment Anything paper published by Meta AI Research.Apr 14, 2023Apr 14, 2023
Producktivity: Why We Need to Rethink Our Definition of ProductivityProductivity is an ambiguous term, everyone has their definition and perception, but many tend to misunderstand and perceive it…Apr 6, 2023Apr 6, 2023
Master the Art of Note-taking: Tips and TechniquesNote taking is important for students and professionals alike. It helps you summarize a lot of information in a compact format.Feb 18, 2023Feb 18, 2023
Affective Computing: Understanding the Power of Emotion in TechnologyAffective computing is a rapidly growing field of technology that deals with the design and development of systems and devices that can…Feb 15, 2023Feb 15, 2023
