Author: Hunter

As a smart home enthusiast, I’ve tested dozens of IoT devices, and Amazon’s Echo Hub is still one of the most useful. It’s also $50 off during the Amazon Big Spring Sale. Read more

I finally found an indoor camera I want to keep in my living room at all times: the Eufy Security Indoor Cam S350. Read more

Large language models (LLMs) have become vital across domains, enabling high-performance applications such as natural language generation, scientific research, and conversational agents. Underneath these advancements lies the transformer architecture, where alternating layers of attention mechanisms and feed-forward networks (FFNs) sequentially process tokenized input. However, with an increase in size and complexity, the computational burden required… Read more

This post is divided into three parts; they are: • Using DistilBERT Model for Question Answering • Evaluating the Answer • Other Techniques for Improving the Q&A Capability BERT (Bidirectional Encoder Representations from Transformers) was trained to be a general-purpose language model that can understand text. Read more

Recent advancements in AI scaling laws have shifted from merely increasing model size and training data to optimizing inference-time computation. This approach, exemplified by models like OpenAI o1 and DeepSeek R1, enhances model performance by leveraging additional computational resources during inference. Test-time budget forcing has emerged as an efficient technique in LLMs, enabling improved performance… Read more

Visual Studio Code (VSCode) is a powerful, free source-code editor that makes it easy to write and run Python code. This guide will walk you through setting up VSCode for Python development, step by step. Prerequisites Before we begin, make sure you have: Python installed on your computer An internet connection Basic familiarity with your… Read more

Supervised fine-tuning (SFT) is the standard training paradigm for large language models (LLMs) and graphic user interface (GUI) agents. However, SFT demands high-quality labeled datasets, resulting in extended training periods and high computational expenses. This dependence on extensive data creates bottlenecks in AI development workflows. Moreover, existing VLM-based GUI agents trained through SFT show performance… Read more

Enterprises adopting AI aren’t just signing a “utility contract” for revenue growth; they’re entering an “emotional contract.”Read More Read more

Gemini 2.5 Pro marks a significant leap forward for Google in the foundational model race – not just in benchmarks, but in usability. Based on early experiments, benchmark data, and hands-on developer reactions, it’s a model worth serious attention from enterprise technical decision-makers, particularly those who’ve historically defaulted to OpenAI or Claude for production-grade reasoning.… Read more

Martha Stewart–endorsed Dinnerly is a budget meal kit that often feels homespun and extravagant. Now if they’d only lay off the broiler. Read more