Abstraction is one of the most critical concepts in Computer Science, with some of the most powerful implications. From a simplistic point of view, abstraction is the ability to take something and…
I don’t know about you, but as much as I love ChatGPT, specifically GPT 4, one thing I cannot stand is the tone in which it writes, and its habit of inundating me with reams of text when I ask a…
Demo Video: Notice the signposting/cues agent … please (read more below) in this conversation and how the agent picked only the relevant information to make respective API requests. I am a fan of the…
Some recent studies have showed that large pre-trained Visual-Language Models (VLMs) like CLIP have strong generalization capabilities on detecting industrial defects from various datasets, but their…
Full guide about how to generate high-quality Python code from scratch using LLMs.
A detailed case of advanced code generation using LLMs.
Neural networks are indeed powerful. However, as the application scope of neural networks moves from “standard” classification and regression tasks to more complex decision-making and AI for Science…
At the risk of stating the obvious, the biggest weakness of a data scientist is that they can’t practice their craft without high quality data. And creating a high quality dataset isn’t exactly…
Remote sensing, a field that deals with tons of spatial data extracted and processed from satellite images, aerial photos, and other sensor-based technologies, or any field using data with spatial…
How to implement a caching mechanism in Python using the functools module cache decoration to improve application and data processing performance.
