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Amibroker AFL Programming
Tuan Nguyen
910 подписчиков
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200 видео с канала:
Tuan Nguyen
Amibroker AFL Programming
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11 - Automation Cloud
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10 - UiPath Orchestrator Overview
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09 - Robot 7 Email Automation
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08 - Robot 6 Optical Character Recognition
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07 - Robot 5 PDF Data Scraping
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06 - Robot 4 Real Estate Web Scraping
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05 - Robot 3 The Automation Challenge
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04 - Robot 2 Data Capturing
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03 - Robot 1 Clothing Consultant
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02 - Exploring UiPath Studio (Modern Design)
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01 - Introduction
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3.6 Analyzing a Process Model Capacity Planning
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3.5 Analyzing a Process Model Activity Costing
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3.4 Analyzing a Process Model Staff Utilization
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3.3 Analyzing a Process Model
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3.2 The BPM Analysis Activity Cycle
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3.1 Introduction Process Analysis Fundamentals
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2.20 Overview of Aris, Bizagi, Camunda, Signavio and Blueworks
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2.19 Manage a BPM Process Repository
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2.18 Create Your First Professional Model Part III
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2.17 Create Your First Professional Model Part II
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2.16 Create Your First Profressional Model Part I
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2.15 BPMN Modeling Techniques Element Selection
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2.14 BPMN Modeling Techniques Process Layout
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2.13 BPMN Modeling Techniques Colouring
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2.12 BPMN Modeling Techniques Drag and Drop, Auto Connect and Auto Size
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2.11 Create a BPMN Process Model Canvass
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2.10 How to set up Microsoft Visio Professional for BPMN Process Modeling Part II
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2.9 How to set up Microsoft Visio Professional for BPMN Process Modeling Part I
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2.8 BPMN 2 0 in Visio Explained Other Style Elements
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2.7 BPMN 2 0 in Visio Explained Pools and Lanes
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2.6 BPMN 2 0 in Visio Explained Start and End Events
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2.5 BPMN 2 0 in Visio Explained Gateways
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2.4 BPMN 2 0 in Visio Explained Tasks
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2.3 Introduction to BPMN 2 0 Style Elements with Microsft Visio Professional
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2.2 Process Architecture Recap
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2.1 Introduction Create Professional BPMN Process Models
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1.13 Useful References
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1.12 What Makes a Great BPM Analyst
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1.11 Best Practice Examples
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1.10 How to model in BPMN
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1.9 Introduction to Business Process Model & Notation BPMN
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1.8 Other BPM Tools
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1.7 Mapping & Modelling Fundamentals
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1.6 BPM Tools
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1.5 Process Architecture
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1.4 BPM Center of Excellence
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1.3 What is Business Process Management
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1.2 Class Exercise
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1.1 Introduction
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5.5 FineTuning of GPT35 Turbo via OpenAI Playground
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5.4 Verifying and Testing Your FineTuned GPT35 Turbo Model
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5.3 Executing FineTuning on GPT35 Turbo with Python
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5.2 Data Preparation for FineTuning GPT35 Turbo Models
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5.1 FineTuning GPT35 Turbo Models An Introduction
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4.3 Creating a Basic Chatbot Web Page with Integration of OpenAI API
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4.2 Creating a Chatbot Using OpenAI APIs Incorporating Model Integration and Rules
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4.1 Getting Started with Postman and OpenAI API Configuring the Environment
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3.4 Testing Your FineTuned Model on OpenAI Playground
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3.3 Finetuning a Pretrained Model A ThreeStage Process
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3.2 Preview to Fine Tuning Process
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3.1 How to Choose a PreTrained Model for FineTuning
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2.6 Building a WellStructured Project Directory
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2.5 Running and Executing Python Code on Google Colaboratory
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2.4 Using ChatGPT to generate Python code for data manipulation
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2.3 Generating Questions and Answers from Text for Finetuning AI Models
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2.2 Data Cleaning with Python Removing Missing Values and Duplicates
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2.1 Finetuning a GPT Model Understanding Data Formats
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1 Introduction to OpenAI Playground
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10.4 Send User Message to the Server
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10.3 Handle User Input in Chatbox
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10.2 Create Flask and Rasa Chatbot
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10.1 Section Introduction
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9.5 Integrate Rasa Chatbot with WhatsApp
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9.4 Rasa and Telegram Integration
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9.3 Rasa Chatbot Integration with Slack
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9.2 Integrate Rasa Chatbot with Facebook Messenger
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9.1 Connect Rasa to Ngrok
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8.3 Show All Data
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8.2 Adding Data to Database
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8.1 Creating Basic Chatbot
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7.5 Two Stage Fallback
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7.4 Handling Low Action Confidence
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7.3 NLU Fallback
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7.2 Fallbacks in Rasa
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7.1 Fallback and Human Handoff
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6.2 Rasa Forms Practical Example
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5.6 Choosing Right Pipeline in Rasa
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6.1 Rasa Form Introduction
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5.5 Movie Recommendation Chatbot Part Two
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5.4 Movie Recommendation Chatbot Part One
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5.3 Rasa Lookup Table
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5.2 Entity Extraction with Regex
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5.1 Rasa Synonyms
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4.4 Rasa Policies
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4.3 What are Slots
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4.2 Rasa Pipeline
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4.1 Creating Intent and Entities for Weather Bot
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3.7 Adding More Functionality
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3.6 Entity Extraction
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3.5 Overview of Story File
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3.4 Overview of Domain File
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3.3 Overview of NLU File
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3.2 Overview of Rules yml File
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3.1 Hello World Chatbot From Scratch
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2.5 Rasa Project Structure
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2.4 Create Rasa Project
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2.3 Setting Up the Development Environment
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2.2 Rasa Overview and It is Key Components
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2.1 Conversational AI & Rasa
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1.1 Course Requirements
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6.2 Additional Resources and Further Learning
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6.1 Debugging Your Scraping Scripts
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5.3 Tips for Efficient Scraping
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5.2 Avoiding Common Pitfalls
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5.1 Ethical Considerations in Web Scraping
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4.3 Web Scraping with ChatGPT Project
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4.2 Extracting News Headlines
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4.1 Practical Web Scraping Projects and Use Cases
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3.3 Extracting Data from a Web Page
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3.2 Handling Common Web Scraping Tasks
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3.1 Making Your First ChatGPT Scraping Request
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2.2 Authentication and API Access
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2.1 Quick Setup for ChatGPT Web Scraping
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1.2 Overview of ChatGPT's Capabilities for Scraping
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1.1 What is Web Scraping and Why Use ChatGPT
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13 Risk Analysis and Mitigation Strategies
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12 Financial Projections Made Easy
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11 Building Your Management and Team Structure
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6 Unlock Market Research Insights
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5 Effortless Business Description Writing
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8 Strategize Your Sales and Marketing Plan
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7 Creating a Stellar Services and Pricing Model
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10 Efficient Operational Plan Design
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9 Strategize Your Sales and Marketing Plan 2
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4 How to Craft an Exceptional Executive Summary
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3 Getting Started
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2 Importance of Business Plans
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1 Welcome and Course Overview
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4.3 PEFT techniques 2 Soft prompts
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4.2 PEFT techniques 1 LoRA
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4.1 Parameter efficient fine tuning PEFT
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3.5 Model evaluation
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3.6 Benchmarks
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3.4 Multi task instruction fine tuning
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3.3 Fine tuning on a single task
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3.2 Instruction fine tuning
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3.1 Introduction Week 2
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95 Website Integration
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96 Conclusion
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94 Telegram Integration
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93 Facebook Integration
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92 Setup Ngrok Windows
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91 Setup Ngrok Ubuntu
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84 Botpress Chatbot 36
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90 Botpress Integration
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89 Introduction
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88 Conclusion
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87 Botpress Chatbot 66
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86 Botpress Chatbot 56
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82 Botpress Chatbot 16
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83 Botpress Chatbot 26
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85 Botpress Chatbot 46
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73 Train Rasa Model
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78 FastAPI Project 56
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77 FastAPI Project 46
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81 Introduction
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79 FastAPI Project 66
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80 Conclusion
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76 FastAPI Project 36
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75 FastAPI Project 26
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74 FastAPI Project 16
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72 How to Plan the Project
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68 Train a Rasa Model
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71 What will you build
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67 Rasa Dataset 33
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70 Introduction
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69 Conclusion
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66 Rasa Dataset 23
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65 Rasa Dataset 13
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63 Introduction to Intent and Entity Recognition
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64 Rasa Data Architecture
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59 Introduction to Text Representation
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58 Introduction to Neural Networks
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62 Why Rasa
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61 Introduction
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60 Conclusion
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57 Introduction
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54 Storing Feedbacks into Database 12
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56 Conclusion
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55 Storing Feedbacks into Database 22
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53 Setup Feedbacks Database
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52 Setup PgAdmin
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51 Basic Chatbot Developing Part 44
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49 Basic Chatbot Developing Part 24
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50 Basic Chatbot Developing Part 34
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48 Basic Chatbot Developing Part 14
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47 Introduction
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45 Botpress Entity Recognition
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Канал: Tuan Nguyen
Amibroker AFL Programming
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11 - Automation Cloud
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10 - UiPath Orchestrator Overview
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09 - Robot 7 Email Automation
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08 - Robot 6 Optical Character Recognition
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07 - Robot 5 PDF Data Scraping
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06 - Robot 4 Real Estate Web Scraping
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05 - Robot 3 The Automation Challenge
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04 - Robot 2 Data Capturing
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03 - Robot 1 Clothing Consultant
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02 - Exploring UiPath Studio (Modern Design)
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01 - Introduction
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3.6 Analyzing a Process Model Capacity Planning
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3.5 Analyzing a Process Model Activity Costing
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3.4 Analyzing a Process Model Staff Utilization
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3.3 Analyzing a Process Model
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3.2 The BPM Analysis Activity Cycle
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3.1 Introduction Process Analysis Fundamentals
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2.20 Overview of Aris, Bizagi, Camunda, Signavio and Blueworks
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2.19 Manage a BPM Process Repository
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2.18 Create Your First Professional Model Part III
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2.17 Create Your First Professional Model Part II
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2.16 Create Your First Profressional Model Part I
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2.15 BPMN Modeling Techniques Element Selection
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2.14 BPMN Modeling Techniques Process Layout
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2.13 BPMN Modeling Techniques Colouring
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2.12 BPMN Modeling Techniques Drag and Drop, Auto Connect and Auto Size
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2.11 Create a BPMN Process Model Canvass
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2.10 How to set up Microsoft Visio Professional for BPMN Process Modeling Part II
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2.9 How to set up Microsoft Visio Professional for BPMN Process Modeling Part I
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2.8 BPMN 2 0 in Visio Explained Other Style Elements
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2.7 BPMN 2 0 in Visio Explained Pools and Lanes
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2.6 BPMN 2 0 in Visio Explained Start and End Events
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2.5 BPMN 2 0 in Visio Explained Gateways
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2.4 BPMN 2 0 in Visio Explained Tasks
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2.3 Introduction to BPMN 2 0 Style Elements with Microsft Visio Professional
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2.2 Process Architecture Recap
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2.1 Introduction Create Professional BPMN Process Models
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1.13 Useful References
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1.12 What Makes a Great BPM Analyst
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1.11 Best Practice Examples
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1.10 How to model in BPMN
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1.9 Introduction to Business Process Model & Notation BPMN
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1.8 Other BPM Tools
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1.7 Mapping & Modelling Fundamentals
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1.6 BPM Tools
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1.5 Process Architecture
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1.4 BPM Center of Excellence
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1.3 What is Business Process Management
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1.2 Class Exercise
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1.1 Introduction
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5.5 FineTuning of GPT35 Turbo via OpenAI Playground
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5.4 Verifying and Testing Your FineTuned GPT35 Turbo Model
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5.3 Executing FineTuning on GPT35 Turbo with Python
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5.2 Data Preparation for FineTuning GPT35 Turbo Models
Скачать
5.1 FineTuning GPT35 Turbo Models An Introduction
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4.3 Creating a Basic Chatbot Web Page with Integration of OpenAI API
Скачать
4.2 Creating a Chatbot Using OpenAI APIs Incorporating Model Integration and Rules
Скачать
4.1 Getting Started with Postman and OpenAI API Configuring the Environment
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3.4 Testing Your FineTuned Model on OpenAI Playground
Скачать
3.3 Finetuning a Pretrained Model A ThreeStage Process
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3.2 Preview to Fine Tuning Process
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3.1 How to Choose a PreTrained Model for FineTuning
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2.6 Building a WellStructured Project Directory
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2.5 Running and Executing Python Code on Google Colaboratory
Скачать
2.4 Using ChatGPT to generate Python code for data manipulation
Скачать
2.3 Generating Questions and Answers from Text for Finetuning AI Models
Скачать
2.2 Data Cleaning with Python Removing Missing Values and Duplicates
Скачать
2.1 Finetuning a GPT Model Understanding Data Formats
Скачать
1 Introduction to OpenAI Playground
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10.4 Send User Message to the Server
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10.3 Handle User Input in Chatbox
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10.2 Create Flask and Rasa Chatbot
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10.1 Section Introduction
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9.5 Integrate Rasa Chatbot with WhatsApp
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9.4 Rasa and Telegram Integration
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9.3 Rasa Chatbot Integration with Slack
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9.2 Integrate Rasa Chatbot with Facebook Messenger
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9.1 Connect Rasa to Ngrok
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8.3 Show All Data
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8.2 Adding Data to Database
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8.1 Creating Basic Chatbot
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7.5 Two Stage Fallback
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7.4 Handling Low Action Confidence
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7.3 NLU Fallback
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7.2 Fallbacks in Rasa
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7.1 Fallback and Human Handoff
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6.2 Rasa Forms Practical Example
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5.6 Choosing Right Pipeline in Rasa
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6.1 Rasa Form Introduction
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5.5 Movie Recommendation Chatbot Part Two
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5.4 Movie Recommendation Chatbot Part One
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5.3 Rasa Lookup Table
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5.2 Entity Extraction with Regex
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5.1 Rasa Synonyms
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4.4 Rasa Policies
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4.3 What are Slots
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4.2 Rasa Pipeline
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4.1 Creating Intent and Entities for Weather Bot
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3.7 Adding More Functionality
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3.6 Entity Extraction
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3.5 Overview of Story File
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3.4 Overview of Domain File
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3.3 Overview of NLU File
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3.2 Overview of Rules yml File
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3.1 Hello World Chatbot From Scratch
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2.5 Rasa Project Structure
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2.4 Create Rasa Project
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2.3 Setting Up the Development Environment
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2.2 Rasa Overview and It is Key Components
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2.1 Conversational AI & Rasa
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1.1 Course Requirements
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6.2 Additional Resources and Further Learning
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6.1 Debugging Your Scraping Scripts
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5.3 Tips for Efficient Scraping
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5.2 Avoiding Common Pitfalls
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5.1 Ethical Considerations in Web Scraping
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4.3 Web Scraping with ChatGPT Project
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4.2 Extracting News Headlines
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4.1 Practical Web Scraping Projects and Use Cases
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3.3 Extracting Data from a Web Page
Скачать
3.2 Handling Common Web Scraping Tasks
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3.1 Making Your First ChatGPT Scraping Request
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2.2 Authentication and API Access
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2.1 Quick Setup for ChatGPT Web Scraping
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1.2 Overview of ChatGPT's Capabilities for Scraping
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1.1 What is Web Scraping and Why Use ChatGPT
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13 Risk Analysis and Mitigation Strategies
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12 Financial Projections Made Easy
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11 Building Your Management and Team Structure
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6 Unlock Market Research Insights
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5 Effortless Business Description Writing
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8 Strategize Your Sales and Marketing Plan
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7 Creating a Stellar Services and Pricing Model
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10 Efficient Operational Plan Design
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9 Strategize Your Sales and Marketing Plan 2
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4 How to Craft an Exceptional Executive Summary
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3 Getting Started
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2 Importance of Business Plans
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1 Welcome and Course Overview
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4.3 PEFT techniques 2 Soft prompts
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4.2 PEFT techniques 1 LoRA
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4.1 Parameter efficient fine tuning PEFT
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3.5 Model evaluation
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3.6 Benchmarks
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3.4 Multi task instruction fine tuning
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3.3 Fine tuning on a single task
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3.2 Instruction fine tuning
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3.1 Introduction Week 2
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95 Website Integration
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96 Conclusion
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94 Telegram Integration
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93 Facebook Integration
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92 Setup Ngrok Windows
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91 Setup Ngrok Ubuntu
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84 Botpress Chatbot 36
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90 Botpress Integration
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89 Introduction
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88 Conclusion
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87 Botpress Chatbot 66
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86 Botpress Chatbot 56
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82 Botpress Chatbot 16
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83 Botpress Chatbot 26
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85 Botpress Chatbot 46
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73 Train Rasa Model
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78 FastAPI Project 56
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77 FastAPI Project 46
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81 Introduction
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79 FastAPI Project 66
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80 Conclusion
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76 FastAPI Project 36
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75 FastAPI Project 26
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74 FastAPI Project 16
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72 How to Plan the Project
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68 Train a Rasa Model
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71 What will you build
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67 Rasa Dataset 33
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70 Introduction
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69 Conclusion
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66 Rasa Dataset 23
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65 Rasa Dataset 13
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63 Introduction to Intent and Entity Recognition
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64 Rasa Data Architecture
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59 Introduction to Text Representation
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58 Introduction to Neural Networks
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62 Why Rasa
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61 Introduction
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60 Conclusion
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57 Introduction
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54 Storing Feedbacks into Database 12
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56 Conclusion
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55 Storing Feedbacks into Database 22
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53 Setup Feedbacks Database
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52 Setup PgAdmin
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51 Basic Chatbot Developing Part 44
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49 Basic Chatbot Developing Part 24
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50 Basic Chatbot Developing Part 34
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48 Basic Chatbot Developing Part 14
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47 Introduction
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45 Botpress Entity Recognition
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