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Mākslīgais intelekts
un boti
MachineLearningfocused62ndDevClub.lv
https://www.devclub.lv/announcement-of-machine-learning-focused-62nd-devclub-lv/
Raivis Skadiņš, Tilde
25. 01.2018
Šajā prezentācijā
kas ir boti un mākslīgais intelekts
daži piemēri
kā tos taisa
galvenie koncepti
mākslīgais intelekts botos
izaicinājumi
kas ir kas
mākslīgais intelekts
boti
Mark Zuckerberg
Facebook CEO
"I don't know anyone who likes calling
businesses. It's not fast and
convenient, and it definitely doesn't
feel like the future."
ziņapmaiņa
lietotāji vairs negrib instalēt
lietotnes telefonos
ziņapmaiņa kļūst ļoti populāra
skype, messenger, whatsapp,
slack, web, sms
teksts, attēli, audio, html u.c.
kādi ir galvenie ieguvumi
it kā lietotājam draudzīgs interfeiss
saglabājas komunikācijas vēsture
b2c komunikācijā
 24/7 pieejamība
 efektivitāte
 mārketinga kanāls
 e-komercija
 ļauj izskatīties inovatīvākam
daži piemēri
https://bots.botframework.com/
daži piemēri
https://www.messenger.com/t/VirtualAgentLaura
https://www.messenger.com/t/LattelecomAnete
https://www.messenger.com/t/ReizrekinaBots
https://www.messenger.com/t/LacisTeo
kā botus taisa?
- intents
- entities
Dashboard
Connectors Dialog management
...
Language
understanding
Q&A
External Systems
Question + Context
- Dialog states
- Context/variables
- user
- conversation
- dialog
- intents/entities
- level etc.
...
RecommendationsASR & TTS
Administration
Monitoring
Support stuff
Emotion recognition
Sentiment analysis
Image recognition
GPS
Multilinguality
Style
Personalization
Users
Administrators
arhitektūra
galvenie komponenti
dialoga vadība (dialog/conversation management/flow)
nolūki (intents)
entītijas (entities)
darbības (actions)
komunikāciju kanāli (channels)
nolūki
Ko lietotājs ar šo gribēja pateikt?
labdien/ sveiki/ čau / / ...
jā/ protams/ kā citādi/ / jaa/ ...
nē/ nopp/ atšujies/ ...
gribu pasūtīt picu/ vai jums ir pica?/ ...
līdz cikiem jūs strādājam
vai varat piegādāt?
welcome
yes
no
order-pizza
working-hours
delivery
entītijas
sveiks, esmu Jānis Bērziņš
gribu divas picas
lai iet margarita šodien
ņemšu trīskāršo siera picu ar papildus sieru
uz vietas
vai strādājat līdz 10tiem
man lūdzu hawai uz puspieciem rītvakar
Un tas viss kopā arī ar nodomiem
Jānis Bērziņš
2
margarita; 25.01.2018
3x-siera; ex-siera
on-place
10:00
hawai; 16:30;
26.01.2018
darbības
ieraksti datubāzē
funkciju izsaukumi
ārēju webservisu izsaukumi
e-pasti
atbildes saformēšana no parametriem
aprēķini
u.tml.
kanāli
skype, fb messenger, whatsapp, telegraph, kik
sms
e-pasti
web lapas
balss zvani (skype, telefons)
slack, ms teems
cortana, echo/alexa, ...
u.c.
izstrādes rīki
Microsoft Bot Framework
https://dev.botframework.com/
LUIS
BotBuildes SDK
Azure Bot Services
Cognitive Services
azure, c#, node.js
izstrādes rīki
OnSequel
https://www.onsequel.com/
grafisks dialoga dizainers
labi der vienkāršiem botiem
stāsti, spēles
personīgie boti, u.tml.
nav jāprot programmēt
izstrādes rīki
wit.ai
https://wit.ai/
ļoti spēcīgs nolūka un entitāšu noteicējs
predefinētas entitātes
fb
izstrādes rīki
dialogflow
https://dialogflow.com/
viss klasiskais komplekts
spēcīga dialoga
apraksta vide
google
izstrādes rīki
ibm watson
https://www.ibm.com/watson/how-to-build-a-chatbot/
viss klasiskais komplekts
mašīnmācīšanās
balss u.c. servisi
izstrādes rīki
u.c., u.t.t., u.tml.
amazon lex
chatfuel
botengine.ai
kas vēl?
mašīnmācīšanās & AI
nolūku mācīšanās
entitāšu mācīšanās
dialoga plūsmu
vai pat visu dialogu
iemācīšanās no piemēriem
end-to-end dialoga sistēmas
izaicinājumi
valodas
balss saziņa
dialoga plūsmu aprakstīšana
mācīšanās – nolūki, entitātes, dialoga plūsmas
B2C modelim pietrūkst
vadības paneļi
statistikas
sarunu pārņemšana
versiju uzturēšana

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