As large language models (LLMs) like OpenAI’s GPT and similar models become integral to a wide range of applications, understanding the costs associated with their usage is increasingly important. These models often operate on a token-based pricing system, where the cost is directly tied to the number of tokens generated during the interaction between the …

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With the rise of powerful AI models like GPT, BERT, and other large language models (LLMs), we have witnessed significant advancements in natural language processing (NLP). These models are capable of generating human-like text, answering complex questions, and even simulating conversations. However, despite their impressive capabilities, LLMs sometimes exhibit a phenomenon known as “hallucination”—a critical …

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Introduction Machine learning (ML) and large language models (LLMs) are at the forefront of artificial intelligence (AI) advancements, driving significant changes across various industries. This article explores the fundamentals of machine learning, the development of large language models, and their profound impact on technology and society. What is Machine Learning? Machine learning is a subset …

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Introduction As the world generates ever-increasing amounts of data, traditional databases struggle to handle the complexity and diversity of modern data types. Enter the vector database, a powerful solution designed to manage and search high-dimensional data efficiently. This article explores what a vector database is, how it works, and its key applications in today’s data-driven …

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Generative AI, particularly language models like OpenAI’s GPT-4, has revolutionized the way we interact with machines by enabling them to generate human-like text. One crucial aspect of working with these models is prompt engineering. This process involves crafting effective inputs (prompts) to guide the AI in generating desired outputs. Here’s an introduction to the basics …

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