Alto Building LLM Powered Applications

Create intelligent apps and agents with large language models
1. Auflage 2024
ISBN: 978-1-83546-263-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 342 Seiten

No detailed description available for "Building LLM Powered Applications".

Autoren/Hrsg.

Alto, Valentina

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Business Application Textverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Table of Contents - Introduction to Large Language Models
- LLMs for AI-Powered Applications
- Choosing an LLM for Your Application
- Prompt Engineering
- Embedding LLMs within Your Applications
- Building Conversational Applications
- Search and Recommendation Engines with LLMs
- Using LLMs with Structured Data
- Working with Code
- Building Multimodal Applications with LLMs
- Fine-Tuning Large Language Models
- Responsible AI
- Emerging Trends and Innovations

Über Autor(innen)

Alto Valentina:
After completing her bachelor's degree in finance, Valentina Alto pursued a master's degree in data science in 2021. She began her professional career at Microsoft as an Azure Solution Specialist, and since 2022, she has been primarily focused on working with Data & AI solutions in the Manufacturing and Pharmaceutical industries. Valentina collaborates closely with system integrators on customer projects, with a particular emphasis on deploying cloud architectures that incorporate modern data platforms, data mesh frameworks, and applications of Machine Learning and Artificial Intelligence. Alongside her academic journey, she has been actively writing technical articles on Statistics, Machine Learning, Deep Learning, and AI for various publications, driven by her passion for AI and Python programming.