Udemy - Learn To Build Incredible AI Chatbots Using RASA

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Learn To Build Incredible AI Chatbots Using RASA [TutsNode.com] - Learn To Build Incredible AI Chatbots Using RASA 1. Introduction
  • 2. Thanks for the support..srt (0.0 KB)
  • 3. Installation RASA.srt (7.1 KB)
  • 1. Introduction.srt (7.3 KB)
  • 4. CLI commands part1.srt (6.3 KB)
  • 6. CLI commands part3.srt (5.7 KB)
  • 7. Download the files.html (0.0 KB)
  • 5. CLI commands part2.srt (4.3 KB)
  • 3. Installation RASA.mp4 (67.0 MB)
  • 6. CLI commands part3.mp4 (66.8 MB)
  • 4. CLI commands part1.mp4 (50.2 MB)
  • 5. CLI commands part2.mp4 (35.3 MB)
  • 1. Introduction.mp4 (24.8 MB)
  • 7.1 1 Rasa Files.zip (23.9 MB)
  • 2. Thanks for the support..mp4 (5.8 MB)
4. RASA Production
  • 11. FLASK RESTFUL-API.mp4 (115.9 MB)
  • 11. FLASK RESTFUL-API.srt (6.8 KB)
  • 9. FLASK API Part-1.srt (6.4 KB)
  • 8. Python Code Make A Request Part2.srt (3.6 KB)
  • 10. FLASK API Part-2.srt (2.9 KB)
  • 12.1 4 ChatBot Files.zip (158.9 KB)
  • 3. What Is Rasa-X And How It Works.srt (2.8 KB)
  • 2. Installation Of Rasa.srt (2.6 KB)
  • 6. Installation Of NGROK.srt (2.3 KB)
  • 1. What Is Production.srt (0.7 KB)
  • 5. NGROK.srt (1.7 KB)
  • 7. Python Code Make A Request Part1.srt (1.6 KB)
  • 4. Local Host Bot Link.srt (1.5 KB)
  • 12. Download the code files.html (0.0 KB)
  • 9. FLASK API Part-1.mp4 (51.7 MB)
  • 10. FLASK API Part-2.mp4 (34.5 MB)
  • 8. Python Code Make A Request Part2.mp4 (23.0 MB)
  • 2. Installation Of Rasa.mp4 (17.4 MB)
  • 6. Installation Of NGROK.mp4 (14.0 MB)
  • 3. What Is Rasa-X And How It Works.mp4 (13.6 MB)
  • 5. NGROK.mp4 (8.7 MB)
  • 4. Local Host Bot Link.mp4 (8.0 MB)
  • 7. Python Code Make A Request Part1.mp4 (7.4 MB)
  • 1. What Is Production.mp4 (2.3 MB)
2. Basic terminologies
  • 5. Basic Terminology Slots.srt (7.6 KB)
  • 1. Introduction to basic terminologies.srt (6.6 KB)
  • 4. Entity Extraction.srt (6.0 KB)
  • 4. Entity Extraction.mp4 (84.9 MB)
  • 3. Dynamic messages, Entity extractions.srt (2.5 KB)
  • 2. Coding policies.srt (3.7 KB)
  • 6. Basic Terminology Forms.srt (1.9 KB)
  • 7. Download the code files.html (0.0 KB)
  • 7.1 2 Rasa Chatbot Files.zip (109.1 KB)
  • 5. Basic Terminology Slots.mp4 (47.9 MB)
  • 1. Introduction to basic terminologies.mp4 (31.8 MB)
  • 2. Coding policies.mp4 (20.8 MB)
  • 3. Dynamic messages, Entity extractions.mp4 (8.7 MB)
  • 6. Basic Terminology Forms.mp4 (5.8 MB)
6. Sentiment Classification
  • 7. Initializing Adam Optimizer.srt (4.9 KB)
  • 4. Loading Dataset Into Pytorch Readable Format.srt (3.2 KB)
  • 3. Reading Dataset And Download Tokenizer.srt (2.8 KB)
  • 8. Evaluation Of Model.srt (1.8 KB)
  • 2. Import Libraries.srt (2.0 KB)
  • 6. Best ARCHITECTURE.srt (1.8 KB)
  • 1. Introduction To The Task.srt (0.9 KB)
  • 9. Final Results.srt (0.8 KB)
  • 5. Loading Dataset Into Pytorch Readable Format Part-2.srt (0.7 KB)
  • 10. Download the code files.html (0.0 KB)
  • 7. Initializing Adam Optimizer.mp4 (69.5 MB)
  • 3. Reading Dataset And Download Tokenizer.mp4 (52.2 MB)
  • 4. Loading Dataset Into Pytorch Readable Format.mp4 (52.1 MB)
  • 8. Evaluation Of Model.mp4 (39.4 MB)
  • 6. Best ARCHITECTURE.mp4 (27.6 MB)
  • 2. Import Libraries.mp4 (24.6 MB)
  • 5. Loading Dataset Into Pytorch Readable Format Part-2.mp4 (18.5 MB)
  • 10.1 6 Module Project Files.zip (7.2 MB)
  • 9. Final Results.mp4 (5.2 MB)
  • 1. Introduction To The Task.mp4 (4.4 MB)
3. Creating RASA Project
  • 2. Editing NLU.srt (4.8 KB)
  • 4. Editing Domain.Yml File.srt (3.6 KB)
  • 1. Conversation Flow.srt (3.3 KB)
  • 6. Editing Actions.Py.srt (2.9 KB)
  • 3. Editing Stories.srt (1.9 KB)
  • 8.1 3 Rasa ChatBot Files.zip (145.1 KB)
  • 5. Editing Domain.Yml File Part-2.srt (1.5 KB)
  • 7. Testing The Project.srt (1.9 KB)
  • 8. Download the code files.html (0.0 KB)
  • 2. Editing NLU.mp4 (45.7 MB)
  • 6. Editing Actions.Py.mp4 (30.9 MB)
  • 4. Editing Domain.Yml File.mp4 (28.8 MB)
  • 5. Editing Domain.Yml File Part-2.mp4 (21.5 MB)
  • 7. Testing The Project.mp4 (18.3 MB)
  • 3. Editing Stories.mp4 (17.2 MB)
  • 1. Conversation Flow.mp4 (16.0 MB)
5. RASA Docker
  • 4. Docker Installation.srt (2.6 KB)
  • 5. Docker Commands Part-1.srt (4.3 KB)
  • 3. Difference Between Docker And VM.srt (3.9 KB)
  • 1. Intro To Docker.srt (3.5 KB)
  • 2. Why do we need DOCKER.srt (3.0 KB)
  • 7. Install Rasa Image.srt (2.4 KB)
  • 8. Install Rasa Image Part-2.srt (2.2 KB)
  • 6. Docker Commands Part-2.srt (2.0 KB)
  • 5. Docker Commands Part-1.mp4 (32.6 MB)
  • 4. Docker Installation.mp4 (29.9 MB)
  • 7. Install Rasa Image.mp4 (25.6 MB)
  • 8. Install Rasa Image Part-2.mp4 (24.8 MB)
  • 3. Difference Between Docker And VM.mp4 (15.9 MB)
  • 2. Why do we need DOCKER.mp4 (12.7 MB)
  • 1. Intro To Docker.mp4 (11.3 MB)
  • 6. Docker Commands Part-2.mp4 (7.3 MB)
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    • Description


      Description

      Tweet “The future of chatbots” and watch what rolls in. To be fair chatbots are the future of every industry vertical today. They are everywhere. Every fortnight there is a new technology offering a new solution that is shoving chatbots into gadgets to make them more useful and powerful.

      Most of the chatbots talk has been focused on Artificial Intelligence, and while it’s fine to build a chatbot, the chatbot is about so much more than a text conversation. Imagine you walk into a shopping mall. You look at the right and see Men’s collection. You look at the left and see the Women’s collection. Now close your eyes. Can you navigate your way to the kid’s section? Even though you are familiar with this shopping mall, without wayfinding and your sense of sight it’s unlikely that you could find your way.

      Walking into a shopping mall with closed eyes is similar to most conversational interfaces today. Everything you need is available, but without the proper cues, information discovery is difficult.

      Open-source tools and libraries are conquering the world of software development, in both artificial intelligence (AI) and non-AI application scenarios. Their increased availability makes them a popular choice for developers and enterprises alike. The same holds true for chatbot development—more and more open-source frameworks are becoming available to chatbot developers.

      Rasa is an open-source chatbot development platform that aims to “make applied research accessible to all developers.” It comes with different pricing plans, suitable for different needs. It accommodates both the starting developer and the advanced enterprise solution.
      Who this course is for:

      Beginners in machine learning
      Beginners in python
      Anyone who is interested to learn about chatbot

      Requirements

      Interest to learn

      Last Updated 2/2021



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Udemy - Learn To Build Incredible AI Chatbots Using RASA

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1.4 GB
seeders:17
leechers:9
Udemy - Learn To Build Incredible AI Chatbots Using RASA

Torrent hash: 16674E29DEE9C0D666D89854986F080F0BD2EB47