Deep Dives

Tips on how to Construct An AI Agent with Function Calling and GPT-5

and Large Language Models (LLMs) Large language models (LLMs) are advanced AI systems built on deep neural network akin to transformers and trained on vast amounts of text to generate human-like language. LLMs like ChatGPT,...

Conceptual Frameworks for Data Science Projects

are analytical structures for representing abstract concepts and organizing data. Data scientists usually use such frameworks — knowingly or unknowingly — to derive project plans, select machine learning models that balance various trade-offs,...

Learning Triton One Kernel at a Time: Matrix Multiplication

multiplication is undoubtedly probably the most common operation performed by GPUs. It's the elemental constructing block of linear algebra and shows up across a large spectrum of various fields equivalent to graphics, physics...

Methods to Perform Effective Agentic Context Engineering

has received serious attention with the rise of LLMs able to handling complex tasks. Initially, most discussions on this talk revolved around : Tuning a single prompt for optimized performance on a single...

Dreaming in Blocks — MineWorld, the Minecraft World Model

games growing up was definitely Minecraft. To this present day, I still remember meeting up with a few friends after school and determining what recent, odd red-stone contraption we might construct next. That’s...

Know Your Real Birthday: Astronomical Computation and Geospatial-Temporal Analytics in Python

are planning next 12 months’s birthday celebrations for 3 friends: Gabriel, Jacques, and Camille. All three of them were born in 1996, in Paris, France, so that they can be 30 years old...

How To Construct Effective Technical Guardrails for AI Applications

with a little bit of control and assurance of security. Guardrails provide that for AI applications. But how can those be built into applications? A couple of guardrails are established even before application coding...

MobileNetV2 Paper Walkthrough: The Smarter Tiny Giant

Introduction was a breakthrough in the sphere of computer vision because it proved that deep learning models don't necessarily should be computationally expensive to realize high accuracy. Last month I posted an article where...

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