AI

Why chunking is the first domino in every RAG system

6 min read
AI is incredibly impressive, until it isn’t. Ask it a question and it will answer confidently, fluently, and sometimes completely wrong. Not because it’s broken, but because it’s doing exactly what it was trained to do: pattern-match its way to a plausible-sounding answer, even when it doesn’t actually know. That confident wrongness has a name, hallucination, and it’s one of the biggest trust problems in AI today. The good news is there’s a practical fix.

Why Does AI Describe Every Sentence With 768 Numbers?

3 min read
Here is something that will change the way you think about AI forever. Every sentence you type, whether it is a question, a message, or a search query, gets quietly converted into a list of 768 numbers before the computer does anything with it. Just 768 numbers. And somehow, those numbers carry the entire meaning of what you said. To understand why, think about GPS. Any location on Earth, your home, the Eiffel Tower, a tiny village in the middle of nowhere, can be described perfectly using just two numbers: latitude and longitude.
The Data Problem in Medical AI and How Generative Adversarial Network Helped Us

The Data Problem in Medical AI and How Generative Adversarial Network Helped Us

9 min read
Early detection of lung cancer saves lives. When a pulmonary nodule, a small lump in the lung tissue, is caught early enough, treatment options are far better and survival rates improve significantly. The challenge is that spotting these nodules on a chest MRI scan requires a trained radiologist, a careful eye, and a lot of time. It is not something you can automate easily or rush. We were exploring whether AI could help with exactly this as part of a proof of concept.
Understanding Generative AI- How It Works and Why Enterprise Governance Matters

Understanding Generative AI- How It Works and Why Enterprise Governance Matters

6 min read
Gen AI Generative AI works by learning from large amounts of data, much like how humans learn from experience. Everything starts with data sources such as text, images, code, and audio. This data exposes the AI to how language is written, how visuals are structured, and how logic works in the real world. Importantly, the AI does not store this data like a library or database. Instead, it studies the data to understand patterns and relationships, which later help it generate new content.

Claude Code Tip#02: Planning Mode vs Thinking Mode

2 min read
Claude has two modes for handling complex tasks , Planning Mode and Thinking Mode. Planning Mode = Breadth : looks wide across your whole project Thinking Mode = Depth : thinks hard about one specific problem Planning Mode Think of it like a contractor who walks through your entire house before starting any work. They check every room, understand what is connected to what, and make a list before picking up a single tool.