Introduction to LLM

Total of 3 articles available. Currently on page 1 of 1.

3.3 Fine-Tuning and Transfer Learning for LLMs: Efficient Techniques Explained

Learn how fine-tuning and transfer learning techniques can adapt pre-trained Large Language Models (LLMs) to specific tasks efficiently, saving time and resources while improving accuracy.

2024-09-14

2.3 Key LLM Models: BERT, GPT, and T5 Explained

Discover the main differences between BERT, GPT, and T5 in the realm of Large Language Models (LLMs). Learn about their unique features, applications, and how they contribute to various NLP tasks.

2024-09-10

2.0 The Basics of Large Language Models (LLMs): Transformer Architecture and Key Models

Learn about the foundational elements of Large Language Models (LLMs), including the transformer architecture and attention mechanism. Explore key LLMs like BERT, GPT, and T5, and their applications in NLP.

2024-09-06

Search History

Aufgabenverwaltung 1255 interface do usuário 1217 AI-powered solutions 1189 améliorations 1186 colaboración 1177 2FA 1175 language support 1160 atualizações 1156 búsqueda de tareas 1156 modèles de tâches 1151 ActionBridge 1134 Produktivität 1130 Aufgaben suchen 1122 interfaz de usuario 1121 joindre des fichiers 1105 Version 1.1.0 1103 anexar arquivos 1086 new features 1081 Transformer 1080 Aufgabenmanagement 1073 busca de tarefas 1069 interface utilisateur 1057 Teamaufgaben 1054 feedback automation 1050 Two-Factor Authentication 1037 modelos de tarefas 1035 CS data analysis 1015 customer data 1012 Google Maps review integration 1008 mentions feature 970

Authors

SHO

CTO of Receipt Roller Inc., he builds innovative AI solutions and writes to make large language models more understandable, sharing both practical uses and behind-the-scenes insights.