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

interface do usuário 1035 Aufgabenverwaltung 1033 améliorations 1024 2FA 997 modèles de tâches 996 Produktivität 990 búsqueda de tareas 990 colaboración 990 atualizações 979 interfaz de usuario 975 AI-powered solutions 969 language support 969 ActionBridge 929 joindre des fichiers 921 Aufgaben suchen 917 anexar arquivos 903 busca de tarefas 899 Aufgabenmanagement 890 Teamaufgaben 887 Transformer 886 new features 886 Version 1.1.0 882 interface utilisateur 876 feedback automation 871 modelos de tarefas 863 Two-Factor Authentication 848 customer data 842 CS data analysis 833 Google Maps review integration 827 mentions feature 792

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.