Conversational AI, Video Edition By Andrew Freed

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Free Download Conversational AI, Video Edition By Andrew Freed
Released 10/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8h 16m | Size: 1.11 GB
Design, develop, and deploy human-like AI solutions that chat with your customers, solve their problems, and streamline your support services.

In Conversational AI, you will learn how to
Pick the right AI assistant type and channel for your needs
Write dialog with intentional tone and specificity
Train your AI's classifier from the ground up
Create question-and-direct-response AI assistants
Design and optimize a process flow for web and voice
Test your assistant's accuracy and plan out improvements
Conversational AI: Chatbots that work teaches you to create the kind of AI-enabled assistants that are revolutionizing the customer service industry. You'll learn to build effective conversational AI that can automate common inquiries and easily address your customers' most common problems. This engaging and entertaining book delivers the essential technical and creative skills for designing successful AI solutions, from coding process flows and training machine learning, to improving your written dialog.
About the Technology
Create AI-driven chatbots and other intelligent agents that humans actually enjoy talking to! Adding intelligence to automated response systems saves time and money for you and your customers. Conversational AI systems excel at routine tasks such as answering common questions, classifying issues, and routing customers to the appropriate human staff. This book will show you how to build effective, production-ready AI assistants.
About the Book
Conversational AI is a guide to creating AI-driven voice and text agents for customer support and other conversational tasks. This practical and entertaining book combines design theory with techniques for building and training AI systems. In it, you'll learn how to find training data, assess performance, and write dialog that sounds human. You'll go from building simple chatbots to designing the voice assistant for a complete call center.
What's Inside
Pick the right AI for your needs
Train your AI classifier
Create question-and-direct-response assistants
Design and optimize a process flow
About the Reader
For software developers. Examples use Watson Assistant and Python.
About the Author
Andrew R. Freed is a Master Inventor and Senior Technical Staff Member at IBM. He has worked in AI solutions since 2012.
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1.12 GB | 00:26:10 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

Chapter 1 Follow along with this book (9.83 MB)
Chapter 1 Introduction to conversational AI (57.23 MB)
Chapter 1 Primary use cases for AI assistant technology (9.56 MB)
Chapter 1 Summary (1.78 MB)
Chapter 10 Analyzing the classifier to predict future containment problems (41.67 MB)
Chapter 10 Improving your assistant (50.65 MB)
Chapter 10 Summary (795.41 KB)
Chapter 10 When and why to improve your assistant (19.09 MB)
Chapter 11 Building your own classifier (19.67 MB)
Chapter 11 Build a simple classifier from first principles (29.9 MB)
Chapter 11 Expanding the simple classifier (30.72 MB)
Chapter 11 Extending even further (10.44 MB)
Chapter 11 Summary (1.16 MB)
Chapter 12 Additional training for voice assistants (31.64 MB)
Chapter 12 Summary (2.89 MB)
Chapter 12 Testing the speech-to-text model (21.47 MB)
Chapter 12 Training a speech-to-text model (44.8 MB)
Chapter 2 Building your first conversational AI (20.13 MB)
Chapter 2 Other useful responses (18.73 MB)
Chapter 2 Responding to the user (41.61 MB)
Chapter 2 Summary (2.34 MB)
Chapter 2 Try to build this conversational AI yourself (2.93 MB)
Chapter 2 What s the user s intent (33.54 MB)
Chapter 3 Choosing the channel to implement first (28.58 MB)
Chapter 3 Designing effective processes (54.88 MB)
Chapter 3 Summary (4.16 MB)
Chapter 4 Asking questions (10.54 MB)
Chapter 4 Designing effective dialogue (39.79 MB)
Chapter 4 Summary (2.59 MB)
Chapter 4 What if the assistant doesn t understand (31.19 MB)
Chapter 5 Building a successful AI assistant (9.87 MB)
Chapter 5 Command interpreter success metrics (23.86 MB)
Chapter 5 Conversational AI success metrics (39.66 MB)
Chapter 5 Event classifier success metrics (19.12 MB)
Chapter 5 Summary (2.06 MB)
Chapter 6 Assessing whether you have the right training data (38.84 MB)
Chapter 6 Finding training data (42.16 MB)
Chapter 6 Summary (2.23 MB)
Chapter 6 Training your assistant (12.14 MB)
Chapter 7 Comparing testing methodologies (51.37 MB)
Chapter 7 How accurate is your assistant (43.65 MB)
Chapter 7 Selecting the right accuracy metric for the job (18.56 MB)
Chapter 7 Summary (1.43 MB)
Chapter 8 Nonfunctionally testing a dialogue flow (23.04 MB)
Chapter 8 Summary (1.49 MB)
Chapter 8 Testing your dialogue flows (59.6 MB)
Chapter 9 Deployment and management (30.15 MB)
Chapter 9 Summary (1.08 MB)
Chapter 9 Using source control for other assets (4.31 MB)
Chapter 9 Where to run your code (28.81 MB)
Part 1 Foundations (2.61 MB)
Part 2 Designing for success (3.46 MB)
Part 3 Training and testing (4.08 MB)
Part 4 Maintenance (3.09 MB)
Part 5 Advancedoptional topics (3.35 MB)

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