Introduction

Generative AI models can answer questions, summarize documents, and generate human-like text. However, their responses are often returned as free-form text, making it difficult for software applications to process the information consistently.

Structured Outputs help solve this problem by making AI responses follow a predefined format, such as JSON …

## Introduction

When interacting with a Generative AI system, we often focus on the question we ask and the answer we receive. However, there is another important factor working behind the scenes: the context window.

The context window determines how much information an AI model can consider at one time while …

## Introduction

Generative AI has transformed the way we create and interact with information. Large Language Models (LLMs) can generate text, write code, summarize documents, answer questions, and assist with complex tasks within seconds.

However, these systems sometimes produce information that sounds convincing but is actually incorrect, misleading, or completely fabricated …

## Introduction

Large Language Models (LLMs) have changed the way applications interact with artificial intelligence. From chatbots and coding assistants to document analysis and AI agents, much of their performance depends on how information is provided to the model.

This has led to two important approaches in AI application development: Prompt …

Introduction

Large Language Models (LLMs) like GPT, Claude, and Gemini can write essays, answer questions, and even generate code. But how do they actually produce text? The process is surprisingly simple at its core, even though the models themselves are massive and complex. This post breaks it down in plain …