Beam me up Botti

Transcript

1. Beam me up, Botti!
2. This is a very very very long gag @hendrikEbbers Hendrik Ebbers • Karakun Co-Founder • Founder of JUG Dortmund • JSR EG member • JavaOne Rockstar, Java Champion • AdoptOpenJDK / Adoptium TSC member
3. This is a very very very long gag @hendrikEbbers Hendrik Ebbers • I (and collect) boardgames • I STARWARS • I Hardrock • I Dogs
4. This is a very very very long gag @hendrikEbbers Content • About (chat)bots • How to code a chatbot • About user data • Rise of the machines • How to survive the robot uprising Fundamentals of 'Natural Language Processing'
5. About (Chat)Bots
6. This is a very very very long gag • Today many companies run chatbots as messaging apps or simply via SMS • Maybe you do not want to buy your new shoes by using a chatbot... • ... but maybe you want to contact your insurance with the help of a bot @hendrikEbbers About Chatbots Botti
7. This is a very very very long gag @hendrikEbbers About Chatbots • Chatbots can bet very helpful when • you want to break down a complexe work fl ow to an enduser • the given functionality is not joyful for the user (like shopping would be for example)
8. This is a very very very long gag @hendrikEbbers About Chatbots • The quality and functionality between 
 chatbots differs a lot • Most simple chatbots are just based 
 on work fl ow with multiple choice • In general we can differ between 
 rule based and AI based bots
9. This is a very very very long gag @hendrikEbbers Rule Based Chatbots "Hello, how can I help you?" "I want to rent a car" "I want to report an accident" "I want to search for a shop" start end
10. This is a very very very long gag • Already several chatbot products on the market • "Simple to con fi gure" • "Ready for your enterprise" @hendrikEbbers Chatbots in Enterprise
11. This is a very very very long gag • Simple visual editors to de fi ne fl ows @hendrikEbbers Chatbots in Enterprise
12. This is a very very very long gag @hendrikEbbers Chatbots in Enterprise Let's start a conversation...
13. This is a very very very long gag @hendrikEbbers Chatbots in Enterprise Let's start a conversation... Looks like the bot is busy doing important stuff It took around 20 sec for the first answer
14. This is a very very very long gag @hendrikEbbers Chatbots in Enterprise Let's start a conversation... Looks like the bot is busy doing important stuff It took around 20 sec for the first answer Let's start with an easy answer
15. This is a very very very long gag @hendrikEbbers Chatbots in Enterprise ... I'm with stupid I'm here to talk. Let's start a conversation
16. This is a very very very long gag @hendrikEbbers Chatbots in Enterprise ... I'm with stupid I'm here to talk. Let's start a conversation ... with the meaningful message '5'
17. This is a very very very long gag @hendrikEbbers Chatbots in Enterprise REALLY???
18. This is a very very very long gag @hendrikEbbers Chatbots in Enterprise REALLY??? Let's try it again ...And Again ...And Again
19. This is a very very very long gag @hendrikEbbers Chatbots in Enterprise REALLY??? Let's try it again ...And Again ...And Again ... I really waited several seconds after each message but nothing happened
20. This is a very very very long gag @hendrikEbbers Chatbots in Enterprise
21. This is a very very very long gag @hendrikEbbers Chatbots in Enterprise HA! Looks like I found a bug .
22. This is a very very very long gag @hendrikEbbers Chatbots in Enterprise ... ok, now I really need some strong coffee
23. This is a very very very long gag @hendrikEbbers Chatbots in Enterprise
24. This is a very very very long gag @hendrikEbbers Best Practices for Chat-Bots • Make sure your chatbot has (a voice and) a character • Use buttons that eases navigation and improve UX (when possible) • Provide users an easy exit
25. This is a very very very long gag @hendrikEbbers Best Practices for Chat-Bots • Make sure your chatbot has (a voice and) a character • Use buttons that eases navigation and improve UX (when possible) Great example for a dynamic selection list Much better than typing numbers https://research.aimultiple.com/chatbot-best-practices/
26. This is a very very very long gag @hendrikEbbers Best Practices for Chat-Bots • Use creative fallback responses 
 
 
 • Always have a button that directs user to a human • Work with experts and test, test, test Is your friend java.util.Random
27. Let's build a ChatBot
28. This is a very very very long gag @hendrikEbbers Let's build a Chatbot • Several services / apps / tools provide interfaces for custom chatbots 
 
 
 
 • Next to this chatbots can be created as stand alone software / custom integration in software
29. This is a very very very long gag @hendrikEbbers Chatbots in Discord Hendrik Hallo ist hier jemand? Bot Hallo neuer User 'Hendrik'. Ich bin der Bot dieses Forums und begrüße alle neuen Benutzer :)
30. This is a very very very long gag @hendrikEbbers Let's build a Chatbot • In general each chatbot is a simple observer • If you understand the observer / listener pattern you can create a chatbot • Let's have a look at a sample I can hear you
31. This is a very very very long gag @hendrikEbbers Let's build a Chatbot final API api = API.create(CONNECTION_TOKEN); final Channel channel = api.getChannel("general"); channel.observe(EventType.NEW_MESSAGE, event -> { channel.sendMessage("Hi " + event.getAuthor()); }); Connection to service (like Discord) Listen & react to new messages
32. This is a very very very long gag @hendrikEbbers Let's build a Chatbot final API api = API.create(CONNECTION_TOKEN); final Channel channel = api.getChannel("random"); Executors.newSingleThreadExecutor().execute(() -> { while(true) { sleepTillMorning(); var m = "Today I try to take over the world!"; channel.sendMessage(message); } }); Interact directly with Service
33. This is a very very very long gag @hendrikEbbers Let's build a Chatbot channel.observe(EventType.NEW_MESSAGE, event -> { if(event.getMessage().startsWith("!help")) { channel.sendMessage(HELP_TEXT); } else if(event.getMessage().startsWith("!hi")) { channel.sendMessage("Hi " + event.getAuthor()); } else if(event.getMessage().startsWith("!dice6")) { channel.sendMessage(randomInt(6)); } }); This is how most Discord Bots work
34. This is a very very very long gag @hendrikEbbers Let's build a Chatbot
35. This is a very very very long gag @hendrikEbbers Register your Chatbot in Discord • Discord (and others) provides an easy way to register bots to servers (BUILD-A-BOT) https://discordpy.readthedocs.io/en/stable/discord.html
36. Rise of the machines
37. This is a very very very long gag @hendrikEbbers Collecting Data • A (chat)bot needs data to react on events and interact with users • The more data a bot has the better it can react
38. This is a very very very long gag @hendrikEbbers Collecting Data • Even with the given trivial examples a lot of data can be collected ... • ... and stored ... • ... and used to fi nd out more information about the users
39. This is a very very very long gag @hendrikEbbers Let's build a Chatbot channel.observe(EventType.USER_ENTERS_CHANNEL, event -> { DbService.storeLogin(LocalDateTime.now(), event.getUser()); }); channel.observe(EventType.USER_LEAVE_CHANNEL, event -> { DbService.storeLogout(LocalDateTime.now(), event.getUser()); });
40. This is a very very very long gag @hendrikEbbers Let's build a Chatbot channel.observe(EventType.NEW_MESSAGE, event -> { DbService.storeMessage(LocalDateTime.now(), event.getUser(), event.getMessage()); });
41. This is a very very very long gag @hendrikEbbers Collecting Data • Now we can easily estimate / calculate when a user is normally online / at home • Now we can calculate relations between users • Now we can extract interests of users
42. This is a very very very long gag @hendrikEbbers Spread the word • People that are much smarter than me can no extract individual & private information • ... and create an individual user pro fi le • ... and let the bot interact in a speci fi c way based on pro fi le More diabolic
43. This is a very very very long gag @hendrikEbbers Spread the word • To create really good fake news a rule based bot is not enough! • For world domination we need an AI based bot
44. This is a very very very long gag @hendrikEbbers Intelligent ChatBots • More and more ChatBots after based on AI • AI allows more complexe work fl ows • Until now we looked at simple rule 
 based chatbots • Let's imagine what a AI based bot can do...
45. This is a very very very long gag @hendrikEbbers Intelligent ChatBotISM
46. This is a very very very long gag @hendrikEbbers Intelligent ChatBotISM
47. This is a very very very long gag @hendrikEbbers Intelligent ChatBotISM
48. This is a very very very long gag @hendrikEbbers Neural Network Models • Several companies and communities worked on AI models values that a neural network tries to optimize during training
49. This is a very very very long gag @hendrikEbbers Neural Network Models • OpenAI is a non pro fi t research organisation for AI
50. This is a very very very long gag @hendrikEbbers Neural Network Models "Generative Pre-trained Transformer (GPT) are a series of deep learning based language models built by the OpenAI team. These models are known for producing human-like text in numerous situations." https://research.aimultiple.com/gpt/
51. This is a very very very long gag @hendrikEbbers Neural Network Models • OpenAI is mostly fi nanced by Elon Musk and Microsoft
52. This is a very very very long gag @hendrikEbbers Neural Network Models • Generative Pre-trained Transformer 3 (GPT-3) from OpenAI is the most complexe model that is known today Section shown on previous slides GPT-3 trained on 40GB of text
53. This is a very very very long gag @hendrikEbbers GPT-3 Model • 75 billions of parameters (T-NLG-Modell from Microsoft has 17 billions) • The model worked so well that the creators themselves became afraid of it.
54. This is a very very very long gag @hendrikEbbers Headline "The latest GPT model, GPT-3, is closed source as Microsoft has licensed its exclusive use. This was widely criticized in the tech community as OpenAI with its mission to bene fi t all humanity, has chosen to work exclusively for the bene fi t of one of the largest tech companies." https://research.aimultiple.com/gpt/
55. This is a very very very long gag @hendrikEbbers GPT Samples https://app.inferkit.com/demo https://gpt3demo.com
56. This is a very very very long gag @hendrikEbbers GPT-3 Sample two GPT-3 AIs having a conversation https://youtu.be/jz78fSnBG0s
57. This is a very very very long gag @hendrikEbbers AI based Chatsbots Natural Language Processing Bot Logic Machine Learning Information Sources Actions Message
58. AI 101
59. This is a very very very long gag @hendrikEbbers Machine Learning • Machine learning (ML) is the generic term for computer algorithms that can improve automatically through experience and by the use of data. Art Deep Learning Machine Learning Arti fi cial Intelligence
60. This is a very very very long gag • Deep learning de fi nes machine learning methods that are based on arti fi cial neural networks • Uses multiple layers to progressively extract higher-level features from the raw input @hendrikEbbers Deep Learning
61. This is a very very very long gag @hendrikEbbers TensorFlow • TensorFlow is a free and open-source library for machine learning and arti fi cial intelligence. • TensorFlow provides APIs for Python, C, C++, Go, Java, JavaScript and Swift • Third-party packages are available for C#, Haskell, Julia, MATLAB, R, Scala, Rust, OCaml, and Crystal Developed by Google https://github.com/tensorflow/tensorflow
62. This is a very very very long gag @hendrikEbbers Natural Language Processing • Natural language processing (NLP) is a sub fi eld of linguistics, computer science, and arti fi cial intelligence • Research on how natural language can be processed • Can be used for text & speech Now I can even shout at you !
63. This is a very very very long gag @hendrikEbbers Natural Language Processing • Example use cases for NLP: • Google Translate • Siri / Alexa • Autocorrection in word processing tools • The Star Trek computer (voice)
64. This is a very very very long gag @hendrikEbbers Hibu Platform • Platform based on enterprise search, language analytics and arti fi cial intelligence • Rule-based, statistical and neural AI tools are available for the implementation of customer requirements
65. This is a very very very long gag @hendrikEbbers Hibu Platform Namenserkennung Themenerkennung Textklassifikation Informationsextraktion Sentimentanalyse Annotation Recommender-Systeme Ähnlichkeitsbestimmung Intelligente Suche Kombination von Komponenten Tabellenextraktion OCR
66. This is a very very very long gag @hendrikEbbers Turing Test • Originally called the imitation game by Alan Turing in 1950 • Test a machine to exhibit intelligent behaviour equivalent to a human. • If a human does not notice that a chat partner is a machine the test is passed
67. This is a very very very long gag @hendrikEbbers Turing Test • In 2014, chat-bot named Eugene Goostman passed the Turing test when it received votes from 33% of the judges who believed that the chat-bot was human. • The chat-bot mimicked the personality of a 13-year-old boy. • Thoughts regarding GPT-3: https://bit.ly/2XjRvY6
68. How to survive the ROBOT UPRISING
69. This is a very very very long gag @hendrikEbbers The Robot Uprising • Arti fi cial intelligence becomes more mainstream every day • Already today we need to think 
 about AI and ethics 
 
 Racist robots - How do we eliminate AI bias?
70. This is a very very very long gag @hendrikEbbers The Robot Uprising • We need rules and list about ethic assessment for AIs • The European Union already 
 published guides and list https://bit.ly/3hDIUqt
71. This is a very very very long gag @hendrikEbbers The Robot Uprising • We as developers should check what kind of data is stored by applications and services • Everyone of us needs to be 
 aware of problems and 
 issues that we will be 
 confronted with in near 
 future
72. Stay safe & healthy
73. @hendrikEbbers dev.karakun.com