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Useful Expressions for Debating

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  Useful Expressions for Debating Welcoming the audience Ladies and Gentlemen welcome to this debate. Stating the issue The motion for debate today is ... People / Dr. Johnson... believe(s) / feel(s) / insist(s) / think(s)...that... Let's first define some important concepts... Phrases to present the most important point This argument/idea is of paramount importance. The most important argument for ... is ... The main idea/thing is ... The most important idea is... Most importantly, I want to mention that... The primary argument for... is... Two/three... important arguments support my point of view... Conceding an argument It's true/obvious/evident that ... However, ... While you might say that ..., it's important to remember that ... I agree with you that ... On the other hand, ... Although/even though it is true that... I believe that... I agree/admit/concede that... , but we must remember that... I can understand that... Neverthe
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I-มานี Dialogflow

 แชทบอท I-Mande - I-MANEE https://bot.dialogflow.com/2510f5c1-2715-4f1c-8e45-6c0aab58ec0d https://console.dialogflow.com/api-client/demo/embedded/2510f5c1-2715-4f1c-8e45-6c0aab58ec0d
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I-Manee

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Microteaching

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MICRO TEACHING  BY Janpha Thadphoothon What is it? A teaching technique Microteaching is a technique aiming to prepare teacher candidates for the real classroom setting. Micro-teaching is a teacher training technique. Why this technique? Doing so is to get constructive feedback from peers and/or students about what has worked and what improvements can be made to their teaching technique.  Steps Microteaching is a teacher training technique for learning teaching skills. It employs real teaching situation for developing skills and helps to get deeper knowledge regarding the art of teaching. This Stanford technique involved the steps of “plan, teach, observe, re-plan, re-teach and re-observe.”  1. Plan 2. Teach 3. Observ 4. Re-plan 5. Re-teach 6. Re-observe
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2021 DPU Arts Research Boot Camp

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   2021 DPU Arts Research Boot Camp   https://drive.google.com/file/d/1zdow09_M1AoQItd8pC2N_hdmXPOpsDQs/view?usp=sharing
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Seq2Seq Approaches in ML

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 Seg 2 Seg Seq2seq, developed by Google for use in machine translation, is a family of machine learning approaches used for language processing. Applications include language translation, image captioning, conversational models, and text summarization. Source: https://towardsdatascience.com/understanding-encoder-decoder-sequence-to-sequence-model-679e04af4346 Seq2seq turns one sequence into another sequence (sequence transformation). It does so by use of a recurrent neural network (RNN) or more often LSTM or GRU to avoid the problem of vanishing gradient.
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The Story of 'Meena' - an Open-domain Chatbot

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 The Story of Meena  Meena is a chatbot, developed by a team of Google programmers and researchers.  Most commercial chatbots deployed by large organizations are designed for narrow uses, such as Dialogflow chatbots. These narrow-function chatbots are called closed-domain chatbots. "Meena" is not, it is an example of an open-domain chatbot -- one designed to converse on any topic that can function as a "friend," advisor, and even a tutor. This new development may affect most information and knowledge-based industries, including foreign language education, especially, English as a global language. Photo credit: https://wethegeek.com/wp-content/uploads/2020/02/Google-meena-chatbot-1-1024x540.jpg An open-domain chatbot needs the knowledge and capabilities of thousands of closed-domain chatbots combined.  In Towards a Conversational Agent that Can Chat About…Anything, Daniel Adiwardana, Senior Research Engineer, and Thang Luong, Senior Research Scientist, Google Researc
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