IntroductionLarge Language Models (LLMs) have revolutionized the field of Natural Language Processing (NLP), demonstrating an unprecedented ability to understand and generate human-like text. These models are trained on vast amounts of data, learning statistical relationships from text documents during a computationally intensive self-supervised and semi-supervised training process. What is a Large Language Model (LLM)?An LLM […]
Category Archives: OpenAI
IntroductionRetrieval-Augmented Generation, commonly known as RAG, has been making waves in the realm of Natural Language Processing (NLP). At its core, RAG is a hybrid framework that integrates retrieval models and generative models to produce text that is not only contextually accurate but also information-rich. What is RAG?Retrieval-Augmented Generation (RAG) is the process of optimizing […]
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 […]
IntroductionArtificial Intelligence (AI) has been at the forefront of technological advancements, with OpenAI leading the charge in many respects. One of their most significant contributions to the field is the development of Generative Pretrained Transformers (GPTs), which have revolutionized the way we interact with AI. The recent introduction of OpenAI GPTs and the GPT Store […]
In the realm of artificial intelligence, one of the most intriguing advancements is Generative AI. But what exactly is Generative AI, and why is it causing such a buzz? At its essence, Generative AI is a branch of artificial intelligence that focuses on creating something new—whether it’s images, music, text, or even entire scenarios—based on […]
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 […]