Archive for October 28th, 2025

User interfaces evolve quickly — colors, fonts, and layouts change with each deployment. But even minor visual changes can break user experiences. That’s where automated visual regression testing becomes essential. It ensures that new UI changes don’t unintentionally alter existing components, keeping your application consistent and error-free. What is Visual Regression Testing? Visual regression testing […]

When working with Large Language Models (LLMs) like GPT, Claude, or LLaMA, every piece of input and output is measured in tokens — not characters or words. Managing tokens efficiently is crucial for cost optimization, model limits, and performance tuning. This is where an LLM Token Counter comes in. Let’s explore what an LLM Token […]

As large language models (LLMs) like GPT, Claude, and LLaMA become more integrated into enterprise workflows, evaluating their performance, consistency, and bias has become critical. That’s where an LLM Evaluation Framework comes in. An LLM Evaluation Framework provides a structured way to measure how effectively an AI model performs across tasks like summarization, code generation, […]

Large Language Models (LLMs) such as GPT-4 and LLaMA have transformed industries with their ability to generate human-like text, summarize documents, write code, and even perform reasoning tasks. However, many organizations are cautious about relying solely on third-party APIs due to concerns over data privacy, compliance, and cost. This is where the concept of a […]

Large Language Models (LLMs) like GPT-4, Claude, and LLaMA have transformed how businesses and developers use artificial intelligence. But have you ever wondered how to build your own LLM instead of relying solely on pre-trained APIs? Building an LLM is no small task — it involves large datasets, powerful GPUs, and deep learning expertise. However, with […]

Large Language Models (LLMs) like GPT, Claude, and LLaMA are revolutionizing how we interact with artificial intelligence. But there’s one concept that defines what these models can and cannot do: the Context Window LLM. In simple terms, a context window is the maximum amount of text (measured in tokens) that an LLM can process in […]

Large Language Models (LLMs) like GPT, Claude, and LLaMA have transformed how we interact with AI. Behind every interaction lies a crucial but often overlooked component—the LLM system prompt. A system prompt is a hidden or predefined instruction given to an AI model before any user input. It sets the rules, tone, style, and constraints […]