Large-language-models

Pydantic AI is a Python framework that uses data validation to build reliable AI agents. This guide explains how to use type hints to ensure structured LLM outputs.

This guide explains how vLLM accelerates Large Language Model serving using PagedAttention to optimize memory management and reduce latency for hardware setups.

Groq utilizes a custom Language Processing Unit architecture to deliver high-speed AI inference, processing text at speeds exceeding 500 tokens per second.

This guide explains how the Gemini API connects software to Google models, covering technical setup, image analysis, and the two million token context window.

This guide explains how the OpenAI API allows developers to integrate GPT-4o models into software for text generation, data analysis, and language translation.