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23 de may. de 2024 · large language model (LLM), a deep-learning algorithm that uses massive amounts of parameters and training data to understand and predict text. This generative artificial intelligence -based model can perform a variety of natural language processing tasks outside of simple text generation, including revising and translating content.
22 de may. de 2024 · ¿Pero qué son exactamente los LLM? "Los LLM son modelos pre-entrenados con una técnica llamada aprendizaje automático, capaz de analizar miles de millones de corpus de texto para aprender patrones de lenguaje, gramática y contexto", afirma Curro Maturana, responsable Global de GenAI de BBVA.
21 de may. de 2024 · A Large Language Model (LLM) is a type of Artificial Intelligence (AI) designed to recognize and generate text. These models are trained on vast datasets, enabling them to understand complex relationships and patterns in the input data and generate coherent responses. Breakdown of LLM:
23 de may. de 2024 · Large Language Models (LLMs) are advanced artificial intelligence systems designed to understand and generate human-like text based on vast amounts of data. These models, such as GPT (Generative Pre-trained Transformer) series developed by OpenAI, consist of neural networks with millions or even billions of parameters.
10 de may. de 2024 · The first set of LLaMA [15], called LLaMA-1, assembled a collection of models with the number of parameters ranges from 7B to 65B and trained on trillions of tokens of exclusively public datasets such as CommonCrawl, C4, Github and Wikipedia.
11 de may. de 2024 · Abstract. Large language models (LLMs) have transformed the interpretation and creation of human language in the rapidly developing field of computerized language processing. These models, which are based on deep learning techniques like transformer architectures, have been painstakingly trained on massive text datasets.
24 de may. de 2024 · Artificial intelligence. In the field of artificial intelligence (AI), AI alignment research aims to steer AI systems toward a person's or group's intended goals, preferences, and ethical principles. An AI system is considered aligned if it advances its intended objectives. A misaligned AI system may pursue some objectives, but not the intended ...
