Hadoop is a distributed data management platform or open source recovery framework used to store and process big data. Sometimes it can also be described as a reduced distributed operating system. It is designed to manage and work with large volumes of data and to perform linear scaling to large clusters of thousands of trading computers. First, Yahoo! It was developed for, but is currently free through the Apache Software Foundation and is open to everyone, but usually requires the use of extensive programming knowledge.
Large Language Models (LLMs) are artificial intelligence models trained with millions of parameters that can perform language understanding and generation from large amounts of textual data. These models are considered a revolutionary step forward, especially in the field of natural language processing (NLP).
Prompt engineering is the process of designing correct guidance and instructions (prompts) to get the best results from big language models (LLM) and AI systems. The power of AI models relies on their ability to produce accurate results with given input.
Fine-tuning is the process of optimizing a pre-trained model for a specific task. This method is an important part of the approach known as transfer learning and is widely used in modern artificial intelligence projects.
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