How To Create Facebook AI Chatbots Using ChatfuelLJ Jose
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The document provides step-by-step instructions for creating a chatbot on the Chatfuel platform. It demonstrates building a chatbot for a steakhouse restaurant that allows users to view the menu, get directions, and reserve a table. It describes setting up the chatbot structure, creating blocks and groups, adding text, images and buttons to the blocks, linking blocks together, and setting up forms and artificial intelligence rules. The overall process takes the reader through setting up a Chatfuel account, designing the user experience flow, and configuring the key features to develop a functional chatbot within the platform.
This document discusses various approaches to question answering systems, including rule-based systems, bag-of-words models, word embeddings, convolutional neural networks, recurrent neural networks, and main challenges. It covers natural language processing techniques, different QA standards, and provides links to resources on related topics such as word embeddings and Russian language parsing.
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This document discusses various approaches to question answering systems, including rule-based systems, bag-of-words models, word embeddings, convolutional neural networks, recurrent neural networks, and main challenges. It covers natural language processing techniques, different QA standards, and provides links to resources on related topics such as word embeddings and Russian language parsing.
The document outlines the steps to develop a chatbot strategy, including understanding the brand ecosystem, creating user stories for each customer segment, designing use cases, listing necessary functionality, and creating a roadmap. It also describes how to develop chatbots by focusing on user experience, designing message flows for each use case, and double checking the design using a unique methodology. The overall process is meant to help integrate chatbots effectively into a business.
This document discusses 9 sins or mistakes of chatbot developers from the perspective of the chatbots community. It focuses on important considerations like ensuring a good user experience through focusing on the user journey and emotions, avoiding spam, being personal rather than taking a one-size-fits-all approach, and thinking about actual use cases rather than just features or functions. The overall message is about being smart and thoughtful in chatbot development.
Chatbots and AI Community - 6 Months Dynamics Report
1. MORE THAN
1500 MEMBERS OF
CHATBOTS
COMMUNITY
IN 6 MONTH
www.CHATBOTSCOMMUNITY.com
NEWS
MEETUPS
JOBS AND PROJECTS
HACKATHONS CUP
DATA SCIENCE
AI TODAY
14. Chatbots Community members
are not only developers
Developers
business
Consultants
Analyst
e-commerce
entrepreneur
弌丐
it-companies
FOUNDERs
Startup
Owner
Investment
manager
!
We asked
them about
background
at our
#1 Chatbots
Meetup
16. 仍亳亠 从仗亠 仆从舒 亢亠 于
Chatbots and ai Community
Dmitry Matskevich
Flocktory
International
Mentor
Mikael Yang
ManyChat
500 Startups,
San Francisco
Pavel Doronin
Chatbots Community
International
entrepreneur
Yuri Gerasimenko
Sberbank
Messenger
product manager
Alex Tushinsky
wobot.me
Partner
Mike Melanin
StatsBot
CBDO
Alex Belocerkovsky
Miscrosoft
Strategy Expert
Artemy Malkin
Data Monsters
Founder & CEO
Svetlana Grigorieva
Yandex
Chatbot
product manager
Anatoly Marin
Icon8 bot
Co-founder