# EffectiveConversationalAI

**Repository Path**: homer-1943/EffectiveConversationalAI

## Basic Information

- **Project Name**: EffectiveConversationalAI
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-04-21
- **Last Updated**: 2025-04-21

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Effective Conversational AI
Site for the book [Effective Conversational AI](https://mng.bz/yWYq), to-be-published through Manning.com (spring 2025).  Until then, it is available in Manning's Early Access Program (MEAP).
This is a sequel to the Conversational AI [book](https://www.manning.com/books/conversational-ai?utm_source=andrewrfreed&utm_medium=affiliate&utm_campaign=book_freed_creating_12_27_20&a_aid=andrewrfreed&a_bid=cc3c6977) written with [Manning Publications](https://www.manning.com/) and published in Fall 2021.

Effective Conversational AI is co-authored by Andrew Freed, Enikõ Rózsa, and Cari Jacobs.  The theme is improving your Conversational AI solution through traditional data science/software engineering methods as well as using Generative AI and large language models (LLMs).

Effective Conversational is planning the following table of contents (subject to change during the authoring process):

Part 1 – Framework for improving Conversational AI
* Chapter 1.	Introduction to Improving Conversational AI
* Chapter 2.  Building a Conversational AI
* Chapter 3.	Strategies for Effective Improvement Plan

Part 2 – Pattern: AI doesn’t understand
* Chapter 4.  Understanding what your users really want
* Chapter 5.	Improving weak understanding
* Chapter 6.	Generate answers with Retrieval Augmented Generation
* Chapter 7.	Augmenting intent data with Generative AI

Part 3 – Pattern: AI is too complex
* Chapter 8.	Streamlining complex flows
* Chapter 9.	Using the right context
* Chapter 10.	Review & generate dialog flows with Generative AI

Part 4 – Pattern: Reduce friction
* Chapter 11.	Reducing Opt-Outs
* Chapter 12.	Conversational Summarization for smooth handoff

This repository includes code samples from the book.  Use the [LiveBook forum at Manning](https://livebook.manning.com/forum?product=freed2&page=1) to submit comments and questions.

For the original Conversational AI book, you can get the [book](https://www.manning.com/books/conversational-ai?utm_source=andrewrfreed&utm_medium=affiliate&utm_campaign=book_freed_creating_12_27_20&a_aid=andrewrfreed&a_bid=cc3c6977) at Manning or look at its code from its [github](https://github.com/andrewrfreed/ConversationalAI/).