Introduction to LLM

Total of 6 articles available. Currently on page 1 of 1.

7.2 Resource-Efficient Training

A preview from Chapter 7.2: Learn how techniques like distillation, quantization, distributed training, and data efficiency make LLMs faster, cheaper, and greener.

2024-10-08

4.4 How LLMs Write Code: The Rise of AI-Powered Programming Assistants

Explore how large language models (LLMs) generate and complete code from natural-language prompts, and what it means for the future of software development.

2024-09-27

4.3 LLMs in Translation and Summarization: Enhancing Multilingual Communication

Learn how Large Language Models (LLMs) leverage Transformer architectures for accurate translation and summarization, improving efficiency in business, media, and education.

2024-09-18

4.2 Enhancing Customer Support with LLM-Based Question Answering Systems

Discover how Question Answering Systems powered by Large Language Models (LLMs) are transforming customer support, search engines, and specialized fields with high accuracy and flexibility.

2024-09-17

4.0 Applications of LLMs: Text Generation, Question Answering, Translation, and Code Generation

Discover how Large Language Models (LLMs) are used across various NLP tasks, including text generation, question answering, translation, and code generation. Learn about their practical applications and benefits.

2024-09-15

1.2 The Role of Large Language Models (LLMs) in Natural Language Processing (NLP)

Discover the impact of Large Language Models (LLMs) on natural language processing tasks. Learn how LLMs excel in text generation, question answering, translation, summarization, and even code generation.

2024-09-04

Search History

Aufgabenverwaltung 1016 améliorations 1014 interface do usuário 1007 2FA 991 colaboración 979 modèles de tâches 974 Produktivität 967 interfaz de usuario 963 language support 961 AI-powered solutions 959 búsqueda de tareas 956 atualizações 955 joindre des fichiers 905 Aufgaben suchen 904 ActionBridge 901 Version 1.1.0 879 busca de tarefas 878 Aufgabenmanagement 877 Transformer 877 new features 872 anexar arquivos 865 Teamaufgaben 863 feedback automation 859 modelos de tarefas 854 interface utilisateur 837 customer data 833 Two-Factor Authentication 824 CS data analysis 823 Google Maps review integration 820 mentions feature 781

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.