11-16-2024, 11:20 AM
![[Image: 359020115_tuto.jpg]](https://img87.pixhost.to/images/599/359020115_tuto.jpg)
1.12 GB | 00:26:10 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
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)]
Screenshot
![[Image: rILZTekG_o.jpg]](https://images2.imgbox.com/c6/74/rILZTekG_o.jpg)
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)]
Screenshot
![[Image: signature.png]](https://softwarez.info/images/avsg/signature.png)
