Introduction to LLM

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

5.1 Bias & Ethical Considerations

A preview from Chapter 5.1 of our book: uncover how large language models inherit bias and learn strategies to build fair, trustworthy AI.

2024-09-29

5.0 Pitfalls & Best Practices When Using LLMs

Discover the hidden risks of large language models—bias, cost, and latency—and learn best practices for deploying LLMs responsibly.

2024-09-28

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

4.1 Exploring LLM Text Generation: Applications, Use Cases, and Future Trends

Learn how Large Language Models (LLMs) are applied in text generation for content creation, email drafting, creative writing, and chatbots. Discover the mechanics behind text generation and its real-world applications.

2024-09-16

Search History

Aufgabenverwaltung 1484 AI-powered solutions 1420 2FA 1412 interface do usuário 1405 language support 1393 améliorations 1380 colaboración 1377 ActionBridge 1376 Version 1.1.0 1353 atualizações 1345 Aufgaben suchen 1342 búsqueda de tareas 1341 interfaz de usuario 1330 modèles de tâches 1326 joindre des fichiers 1320 Produktivität 1318 new features 1308 Transformer 1306 anexar arquivos 1306 Aufgabenmanagement 1298 Teamaufgaben 1269 Two-Factor Authentication 1269 interface utilisateur 1268 busca de tarefas 1262 customer data 1252 CS data analysis 1246 feedback automation 1242 modelos de tarefas 1239 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.