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Machine Learning and Generative AI for Marketing

You're reading from   Machine Learning and Generative AI for Marketing Take your data-driven marketing strategies to the next level using Python

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835889404
Length 482 pages
Edition 1st Edition
Languages
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Authors (2):
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Nicholas C. Burtch Nicholas C. Burtch
Author Profile Icon Nicholas C. Burtch
Nicholas C. Burtch
Yoon Hyup Hwang Yoon Hyup Hwang
Author Profile Icon Yoon Hyup Hwang
Yoon Hyup Hwang
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Table of Contents (16) Chapters Close

Preface 1. The Evolution of Marketing in the AI Era and Preparing Your Toolkit FREE CHAPTER 2. Decoding Marketing Performance with KPIs 3. Unveiling the Dynamics of Marketing Success 4. Harnessing Seasonality and Trends for Strategic Planning 5. Enhancing Customer Insight with Sentiment Analysis 6. Leveraging Predictive Analytics and A/B Testing for Customer Engagement 7. Personalized Product Recommendations 8. Segmenting Customers with Machine Learning 9. Creating Compelling Content with Zero-Shot Learning 10. Enhancing Brand Presence with Few-Shot Learning and Transfer Learning 11. Micro-Targeting with Retrieval-Augmented Generation 12. The Future Landscape of AI and ML in Marketing 13. Ethics and Governance in AI-Enabled Marketing 14. Other Books You May Enjoy
15. Index

Building a knowledge retrieval system for marketing with LangChain

This section will explore the practical aspects of setting up a knowledge retrieval system specifically tailored for marketing purposes using LangChain, a library designed to facilitate the integration of language models with retrieval systems. We will do this via an example that readers can follow to construct their own retrieval systems for enhancing the capabilities of generative AI in their own marketing strategies.

Introduction to LangChain

LangChain is a framework that significantly enhances the capabilities of language models by integrating them with retrieval systems. Its flexible design allows it to support a variety of backend databases and customizable retrieval strategies using modules like langchain-retrieval and langchain-storage.

LangChain essentials

LangChain facilitates the combination of language models with robust retrieval systems. This integration captures the principles...

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