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 1485 AI-powered solutions 1420 2FA 1413 interface do usuário 1405 language support 1393 améliorations 1380 ActionBridge 1377 colaboración 1377 Version 1.1.0 1353 atualizações 1346 búsqueda de tareas 1343 Aufgaben suchen 1342 interfaz de usuario 1330 modèles de tâches 1326 joindre des fichiers 1320 Produktivität 1319 new features 1310 Transformer 1307 anexar arquivos 1306 Aufgabenmanagement 1298 Teamaufgaben 1270 Two-Factor Authentication 1269 interface utilisateur 1269 busca de tarefas 1262 customer data 1252 CS data analysis 1246 feedback automation 1242 modelos de tarefas 1240 Google Maps review integration 1233 mentions feature 1157

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.