Large-language-models

This guide explains how the LangChain framework connects large language models to external data sources and software to build complex, data-driven AI applications.

Claude Opus 5 features a 2-million-token context window and a 40% improvement in complex reasoning, enabling the automation of multi-step technical workflows.

LoRA fine-tuning enables efficient model customization by reducing memory usage and trainable parameters. Learn how adapter layers optimize training on consumer GPUs.

Vector embeddings are numerical representations that capture semantic meaning. This guide explains how mathematical vectors enable AI to process data relationships.

Retrieval-Augmented Generation connects AI models to private data to reduce hallucinations. This guide explains how RAG provides accurate and up-to-date answers.