Category Archives: Large Language Models (LLM)

An LLM is a specialized type of artificial intelligence (AI) that has been trained on vast amounts of text to understand existing content and generate original content. These models are deep learning algorithms that can perform a variety of NLP tasks. They use transformer models and are trained using massive datasets. This enables them to recognize, translate, predict, or generate text or other content.

Vector Embeddings: What, Why, and How

Vector embeddings are a powerful technique for representing complex, unstructured data in a way that preserves their semantic meaning and enables efficient processing by machine learning algorithms. In this blog post, we will explore what vector embeddings are, why they are useful, and how they are created and used for various tasks such as text […]

LangChain: A Framework for Building Applications with Large Language Models

Large language models (LLMs) are neural network models that can generate natural language texts based on some input, such as a prompt, a query, or a context. LLMs have shown impressive results in various natural language processing tasks, such as text summarization, machine translation, question answering, and code generation. However, building applications that use LLMs […]