Wednesday, May 20Digital Marketing Journals

nlu

New Conversational UX Stack: Integrating NLU, LLMs, & RAG | by Stefan Kojouharov | Mar, 2024
28Mar By Stefan KojouharovNo Comments
ai bot, ai chat, ai chatbot, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatbots, conversation with ai, conversational-design, creating chatbots, llm, nlu, rags, robot chat

New Conversational UX Stack: Integrating NLU, LLMs, & RAG | by Stefan Kojouharov | Mar, 2024

Large Language Models are redefining how we build Conversational Agents. Today, LLMs can do most of the heavy lifting in minutes. The days of building hundreds of flows of every useful intent or FAQ question are gone. Instead, LLMs can be trained on a knowledge base and be able to give great answers.The role of a Conversation Designer has changed. Designers now have to start thinking differently. Instead of thinking linearly and having a flow-based approach to design, now we need to think more about knowledge, information, and data and how all of this leads to meaning-making.Through stories, knowledge bases, and prompt engineering, designers will soon be creating experiences we once only dreamed of. The job has changed, and it is now more creative than ever.Conversational AI Project will c...
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Only 24hrs to Go
14Nov By Stefan KojouharovNo Comments
best chatbot, chatbot, chatbot app, chatbot online, chatbot website, chatbot-conference, conversational-ai, conversational-ux, creating chatbots, nlp, nlu, robot chat

Only 24hrs to Go

The Chatbot Conference is starting Tomorrow.If you have tickets, the Zoom Events Lobby is now open! Log in and join the conversation.If you still need tickets, this is the last chance to register and join us.Cheers.StefanOnly 24hrs to Go 😯 was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
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Only 1 Week to Go!
12Nov By Stefan KojouharovNo Comments
best chatbot, chatbot, chatbot app, chatbot online, chatbot website, chatbots, conversational-design, creating chatbots, nlu, nlu-workshop, robot chat, voice-assistant

Only 1 Week to Go!

Friendly reminder,The Chatbot Conference is starting in 3 Days!The Conference will begin on November 15, 2022, at 9 am PT. We will start a few minutes early and stream the Morning Sessions and Track 3 Podcast into the Metaverse!This event will be our most content-rich event, with an Industry Track, Execution Track, Live Podcast, and Two Certified Workshops!Every session is automatically recorded, and you’ll have access to watch and rewatch the talks!If you still don’t have your tickets, this is a great time to register and join us.See you on November 15.Cheers.StefanPS: We are sending out Event Calendar Invites TodayOnly 1 Week to Go! was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
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12Apr By Stefan KojouharovNo Comments
ai bot, ai chat, ai chatbot, best chatbot, bots, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, Conference, conversation with ai, conversational-ui, creating chatbots, nlp-training, nlu, robot chat

Chatbot Conference is Coming to the Metaverse in 24hrs!

We will be going live on April 12th at 9:00 AM!Join is un ZOOM and in the Metaverse.Discover how top industry leaders are using Conversational AI in their companies and in the Metaverse.Register: https://www.eventbrite.com/e/chatbot-conversational-ai-conference-in-the-metaverse-tickets-348396944643 Day AgendaApril 12th | Day 1: LearnApril 13th | Day 2: DesignApril 14th | Day 3: BuildBy the end of the Chatbot Conference, you will know what use cases are best for Conversational AI, what tools and resources you need to organize your project, how to design a Conversation Agent, and how to develop one.By the end of the Conference, you will have an MVP Bot that can take orders, and answer questions and which you can share with your team or implement in your business.See you in the Metaverse!Chee...
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Understanding the Intent in NLU. in NLU and Dialogue methodology | by Raphael Pinto | Sep, 2021
10Sep By Raphael PintoNo Comments
ai bot, ai chat, ai chatbot, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatbot-development, chatbots, conversation with ai, creating chatbots, intent, naturallanguageprocessing, nlu, robot chat

Understanding the Intent in NLU. in NLU and Dialogue methodology | by Raphael Pinto | Sep, 2021

in NLU and Dialogue methodologyFirstly... What history is this “NLU and Dialogue methodology”? This post is a continuation of Understanding chatbots solutions in the market. For not to be without understanding, read it before(I recommend!!).Then let’s go… Like I already defined in another story the intent is the objective of the user when he expressed a sentence.For example, considers that we are in a banking context:User: What is my account balance?In this case, we can understand that the user’s desire is to know the amount of money has in your banking account. That is intent. And the output can be:INTENT: ACCOUNT_BALANCE (98%)The user could have expressed for many different modes to ask your account balance. In this methodology, the NLU must comprehend his interactions and choose the int...
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“Speech Recognition” August 2021 — summary from Arxiv, Europe PMC and Springer Nature | by Brevi Assistant | Aug, 2021
30Aug By Brevi AssistantNo Comments
ai bot, ai chat, ai chatbot, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, conversation with ai, creating chatbots, natural-language-process, nlu, robot chat, speech-recognition, voice-assistant, voice-recognition

“Speech Recognition” August 2021 — summary from Arxiv, Europe PMC and Springer Nature | by Brevi Assistant | Aug, 2021

Arxiv — summary generated by Brevi AssistantIt’s challenging to personalize transducer-based automated speech recognition system with context information which is inaccessible and vibrant during version training. Experiments reveal that the design improves standard ASR model performance with about 50% relative word mistake rate decrease, which also substantially outperforms the baseline approach such as contextual LM biasing. In this paper, we provide AISHELL-4, a sizable real-recorded Mandarin speech dataset gathered by 8-channel round microphone selection for speech processing in conference scenario. Provided most open resource dataset for multi-speaker tasks are in English, AISHELL-4 is the only Mandarin dataset for conversation speech, supplying added worth for information diversity in...
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