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GPT vs Llama: Which Language Model is More Powerful?
A Large Language Model (LLM) is a deep learning algorithm that, after being trained on big datasets, can recognize, summarize, translate, and generate new content in the form of text and other formats.
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In fact, LLM models are not foreign to us. It can be considered as an advanced version of Natural Language Processing (NLP) models, which have been studied for a long time, especially in academia. NLP is often used for a variety of purposes, such as spell checking, auto-correction, sentiment analysis, speech recognition and voice assistants. However, it struggles with contextual understanding. Real-life language nuances are difficult to understand or may be misunderstood. In contrast, LLM models can converse like a human being because they are contextualized and can perceive nuances. They can answer questions, understand jokes, and create new content. The driving force behind this development lies in the combination of academic advancements in Deep Learning models, the Transformer architecture, and Attention mechanisms, further enhanced and supported by technology companies.
In 2024, the most popular models dominating the field are GPT, Llama and Gemini…
