Large language models projects : apply and implement strategies for large language models / Pere Martra.
This book offers you a hands-on experience using models from OpenAI and the Hugging Face library. You will use various tools and work on small projects, gradually applying the new knowledge you gain. The book is divided into three parts. Part one covers techniques and libraries. Here, you'll ex...
Saved in:
| Online Access: |
Full Text (via Springer) |
|---|---|
| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Apress,
[2024]
|
| Edition: | [First edition]. |
| Subjects: |
Table of Contents:
- Part I: Techniques and Libraries
- Chapter 1. Introduction to Large Language Models with OpenAI
- Chapter 2: Vector Databases and LLMs
- Chapter 3: LangChain & Agents
- Chapter 4: Evaluating Models
- Chapter 5: Fine-Tuning Models
- Part II: Projects
- Chapter 6: Natural Language to SQL
- Chapter 7: Creating and Publishing Your Own LLM
- Part III: Enterprise solutions
- Chapter 8: Architecting an NL2SQL Project for Immense Enterprise Databases
- Chapter 9: Transforming Banks with Customer Embeddings.