Stanford Seminar - Transformers in Language: The Development of GPT Models Including GPT-3
YouTube
60 Cursos
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Resumen
Título: Seminario de Stanford sobre Modelos GPT: Desvelando los Transformadores en el Lenguaje
Descripción: Sumérgete en el mundo del aprendizaje no supervisado y su papel fundamental en el procesamiento del lenguaje natural con nuestro curso completo de la Universidad de Stanford, disponible en YouTube. Explora una serie de algoritmos cruciales para la construcción de modelos de texto generativos y la mejora de la comprensión del lenguaje. Navegaremos por las complejidades de los modelos de 3-gramos, las redes neuronales recurrentes, grandes LSTM, la revolucionaria arquitectura Transformer, y los avances aportados por GPT-2 y GPT-3. Además, el curso profundiza en temas especializados como la Neurona de Sentimiento No Supervisado, la Comprensión de Lectura de Cero Disparos y la innovadora aplicación de GPT-3 en análisis de imágenes a través de IGPT. Evaluaremos conjuntos de datos rompedores como HumanEval y discutiremos métricas de evaluación como el pass@k. Únete a nosotros mientras también abordamos técnicas de aproximación para el muestreo y reflexionamos sobre las vastas implicaciones y limitaciones existentes dentro del ámbito del procesamiento del lenguaje natural.
Universidad: Universidad de Stanford
Proveedor: YouTube
Categorías: Cursos de Aprendizaje No Supervisado, Cursos de Chatbot, Cursos de Análisis de Sentimientos, Cursos de GPT-3, Cursos de Memoria a Corto y Largo Plazo (LSTM)