Stanford Seminar - Transformers in Language: The Development of GPT Models Including GPT-3
YouTube
60 Cours
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Aperçu
Titre : Séminaire de Stanford sur les modèles GPT : Dévoiler les Transformers dans le Langage
Description : Plongez dans le monde de l'apprentissage non supervisé et de son rôle crucial dans le traitement du langage naturel avec notre cours complet de l'Université Stanford, disponible sur YouTube. Explorez une gamme d'algorithmes essentiels pour la construction de modèles de texte génératifs et l'amélioration de la compréhension du langage. Nous parcourrons les complexités des modèles 3-grammes, des réseaux neuronaux récurrents, du grand LSTM, de l'architecture révolutionnaire des Transformers, et des avancées apportées par GPT-2 et GPT-3. De plus, le cours se penche sur des sujets spécialisés tels que le Neurone de Sentiment Non Supervisé, la Compréhension en Lecture sans Exemples, et l'application innovante de GPT-3 dans l'analyse d'images à travers IGPT. Nous évaluerons des ensembles de données révolutionnaires tels que HumanEval et discuterons des métriques d'évaluation telles que le pass@k. Rejoignez-nous tandis que nous abordons également les techniques d'approximation pour l'échantillonnage et réfléchissons aux vastes implications et aux limitations existantes dans le domaine du traitement du langage naturel.
Université : Université Stanford
Fournisseur : YouTube
Catégories : Cours d'apprentissage non supervisé, Cours sur les chatbots, Cours d'analyse des sentiments, Cours sur GPT-3, Cours sur la mémoire à long terme courte durée (LSTM)