Tailoring AI: Is Fine-tuning Actually Necessary?
Fine-tuning is a powerful way to sharpen AI with custom data, but here are three things you must know before diving in.
Tag: Tech Basics
The Magic of Increasing AI Performance While Lowering Costs: What is the 'Efficient Frontier'?
We explore the 'Efficient Frontier,' which balances the intelligence of AI models with computing resources.
Why does the AI on my computer feel stupid? The truth revealed by a 'smart friend'
We explain simply why local AI models running directly on your computer feel less capable than cloud services and how to fix it.
AI Gets Lost Using 'Filters' to Find Photos? How ACORN Solves It
An easy-to-understand look at the search error issues that occur when using metadata filters in AI search systems, and the ACORN algorithm that solves them.
Baking AI: How Different Is It from Baking Bread?
Using the analogy of 'baking bread' to explain how Large Language Models (LLMs) are created and served.
Why Can't AI Analyze Excel Data? The Surprising Weakness of Smart Models
We explain in simple terms why Large Language Models (LLMs) lag behind traditional methods in analyzing tabular data, along with their limitations.
From underwater robots to my music taste? The AIs named 'Tidal'
We dig into the identity of different AI technologies named 'Tidal,' ranging from music streaming to underwater robotics and corporate compliance.