IT |
気になる、記になる… |
Satechi、「iMac 24インチ」のカラーリングに合わせた「リバーシブル Ecoレザーデスクパッド」を3月12日頃に国内で発売へ |
https://taisy0.com/2022/03/05/154127.html
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satechi |
2022-03-05 14:51:04 |
js |
JavaScriptタグが付けられた新着投稿 - Qiita |
Amazonで金額指定して、検索したい!! |
https://qiita.com/NagaJun/items/77cf5b992e8a48621227
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例えば、商品名「紙」、金額上限「」、金額下限「」で検索すると、本当にその価格帯の「紙」が結果として出てきますWフィッシングが怖いフィッシングできる項目が、検索内容だけですがWという方は、以下のコードでhtmlファイルを作成し、それをchromeで開いてください。 |
2022-03-05 23:14:22 |
Ruby |
Rubyタグが付けられた新着投稿 - Qiita |
ruby -v でrbenvで指定したバージョンが表示されない時の対処法 |
https://qiita.com/_engineer/items/513f23be54f09b4ad9cb
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現在のパスを確認してみましょうターミナルechoPATHusrlocalbinusrbinbinusrsbinsbin上記にrbenvのパスがないことが分かると思います。 |
2022-03-05 23:42:34 |
AWS |
AWSタグが付けられた新着投稿 - Qiita |
Amazon Neptune に loader コマンドで、データのインポートをしてみた |
https://qiita.com/sugimount-a/items/e62d5d886ee6fea23d0e
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sparqlSELECTspoWHEREspoLIMIT次に以下のクエリーを実行します。 |
2022-03-05 23:36:28 |
AWS |
AWSタグが付けられた新着投稿 - Qiita |
AWS;請求アラームの作成手順 |
https://qiita.com/249c/items/7e9a8543c9f9578df494
|
AWS請求アラームの作成手順AWSの予想請求額が指定した閾値を超過したときに通知を送信するアラームを作成アラームの作成手順が昨年から変更となっていたため覚書として記録現状、東京リージョンでは設定できない動作未確認以下編集中請求アラートの有効化アラーム作成前の前提条件として、請求アラートを有効化しておく必要がある。 |
2022-03-05 23:02:33 |
golang |
Goタグが付けられた新着投稿 - Qiita |
【Golang】gqlgen、gin、GORMを使ったプロジェクトテンプレート |
https://qiita.com/Rahariku/items/3ac74d317c01fbfa52c2
|
作成したテンプレートは以下に公開しています。 |
2022-03-05 23:32:35 |
技術ブログ |
Developers.IO |
OpenCV(Python)で画像内を検索(Template Matching)してみた |
https://dev.classmethod.jp/articles/search-images-in-an-image-with-opencv-python/
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opencv |
2022-03-05 14:56:04 |
技術ブログ |
Developers.IO |
GitHubのプルリクエストが見やすくなる「Pull Request File Tree」がプレビューされました! |
https://dev.classmethod.jp/articles/github-pull-request-file-tree/
|
github |
2022-03-05 14:53:06 |
海外TECH |
MakeUseOf |
Google Fast Pair: What Is It and How Does It Work? |
https://www.makeuseof.com/what-is-google-fast-pair/
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Google Fast Pair What Is It and How Does It Work The Google Fast Pair Service is a Bluetooth technology that makes it quick and easy to connect your accessories Here s how to get started with it |
2022-03-05 14:45:12 |
海外TECH |
MakeUseOf |
How to Make a Chart in Google Docs |
https://www.makeuseof.com/how-to-make-chart-google-docs/
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google |
2022-03-05 14:30:13 |
海外TECH |
DEV Community |
Book a vacation with Amazon Lex Automated Chatbot Designer (Preview) - Conversational AI - Part 2 |
https://dev.to/aws-builders/book-a-vacation-with-amazon-lex-automated-chatbot-designer-preview-conversational-ai-part-2-4egf
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Book a vacation with Amazon Lex Automated Chatbot Designer Preview Conversational AI Part The rise of Conversational AIIndustries ranging from travel startups telecommmunications want to provide a unique customer experience reach customers globally and provide customer support to engage with customers with a digital experience via voice calls or text In this economy some customer profiles e g professionals and millenials might prefer to contact a company after hours and choose not to speak directly to a contact centre agent or type with a live agent For example a professional might prefer to research and switch health insurance online book a holiday or shop online at pm at night in those given scenarios you just might meet a chatbot when you click on the landing page of a company website and click through tabs Below is an example of a chatbot session with telecommunications provider Optus a subsidiary of Singapore Telecommunications Limited for researching cell phones In this global economy contact centres may operate locally or within a shared services model with agents that you can speak with during business hours from am to pm and then outsource until pm to neighbouring Asian countries such as Singapore Mumbai Malaysia and thereafter switch on a chat bot to act as a concierge service to answer FAQs What is Conversational AI According to Deloitte conversational AI is A programmatic and intelligent way of offering a conversational experience to mimic conversations with real people through digital and telecommunication technologiesConversational AI brings together technology components including the following Natural Language Processing NLP The ability to read or parse human language textIntent Recognition The ability to understand what the user is requestingEntity Recognition Some text Fulfilment Pull data from web services using APIs or databasesVoice Optimised Responses Engage in conversations in a human like manner and show emotions to optimise the experienceDynamic Text to Speech Converts written text to natural languageMachine Learning Understand the customer by analyzing agent responsesContextual Awareness Ability to follow conversation history translate recall memorise information over conversations What is Amazon Lex V Amazon Lex is an AWS Service that builds conversational interfaces with voice and text This enables developers to build chatbots within minutes instead of weeks using the Amazon Lex console Benefits of building a bot with Amazon Lex VYou can analyze thousands of lines of audio transcripts and reduce effort to find the intent i e the action the user wants to perform using machine learning You may build test and deploy chatbots for websites contact centres and messaging channels in a matter of hours instead of weeks You can build a minimum viable product and then iterate to improve conversation designYou can use chatbots to improve customer experience by designing intents that have well defined intent names sample utterances and create a Lambda function to fulfill the intent NEW from Amazon re invent Amazon Lex Chatbot Designer Preview At AWS re Invent there was an announcement of Amazon Lex Chatbot Designer in preview which means that you can test drive and build a chatbot using this service free of charge for a limited period You may re play and watch the announcement from AWS re Invent at this link below with Jenna Pederson Sr Developer Advocate Gunnar Grosch Sr Developer Advocate and Harshal Pimpalkhute Product Manager AWS re Invent AWS On Air ft Automated chatbot designer in Amazon Lex High level architectureThis reference architecture from AWS provides an overview of how the Amazon Chatbot Designer works The automated chatbot designer preview allows you to use your existing conversation transcripts It analyzes the transcripts and suggests an initial design with intents and slot types Step Input your audio transcripts into Amazon SStep Transcripts are loaded into Amazon Chatbot DesignerStep Deep Learning techniques will group and extract the intents i e the reason for the phone call Step The bot design will produce a list of intents that can be reviewed for intents and slot types How to create a bot with Amazon Lex VThere are four steps to create a bot with Amazon Lex VStep Create a bot and add one or more languagesConfigure the bot to do the following a Understand the user goalb Engages conversation with the user to obtain information andc Fulfills the user s intentStep Test the botUse the test window client provided by Amazon Lex V console to test the bot Step Publish the a version of the bot and create an alias Step Deploy the bot You can deploy the bot on your messaging channels such as Facebook Messenger and Slack Tutorial Build a Chatbot with Amazon Lex Automatic Chatbot Designer Preview with existing dataBelow is a chatbot session with online flight booking provider Last Minute for researching flight information outside business hours Step Click on URL for Chatbot DesignerStep Create a custom bot to Book a flightStep Sign into the Amazon Lex V console with your login details for IAM user for your Amazon accountIf you do not have administrator user access you may follow the steps in the blog or read the instructions from the user guide hereStep In the Amazon Lex V bot console click Create bot Step For the Creation method choose Start with an exampleStep In the Example bots section select from the drop down menu BookTripStep In the Bot configuration give the bot a name and a description for the purpose of creating a botStep In the Permissions section choose Create a role with basic Lex permissionsIAM permissions are required to run the bot Step In the Children s Online Privacy Protection Act COPPA section read the terms and conditions and make the right choice Step In the Session timeout and Advanced settings retain the default settings and click Next Amazon Lex will create the bot Add language to a BotStep In the Language section choose a language and provide a description Select from the drop down menu English GB and in the description type British accentStep Leave Voice interaction and Intent classification confidence score threshold with default settings Step Select Add language to add a language to the bot Select Emma from the drop down menu and use Standard speech to text Step After the language is added choose Done to continue Use the intent editor to inspect the intents used by the bot and once you are satisfied you can test the bot To test the BookFlight botStep From the bottom of the menu click Build Wait a few seconds for the bot to be created Step After the bot has been created click Test to open the test window Step Test the bot Start the conversation with a sample utterance or type your own e g I would like to book a flight to London AWS re Invent Amazon LexDemo of Amazon Lex Automated Chatbot Designer re Invent recaps Getting Started with Amazon LexBest practices for Conversation Design with Amaxzon Lex ReferencesWhat is Conversational AI Building botsAmazon Lex Chatbot Designer Preview Create an IAM User roleWhere to locate open source audio transcriptsData sourceData set media folder GlossaryAmazon Lex core concepts explained hereBot A bot performs automated tasks such as ordering a pizza booking a hotel ordering flowers and so on An Amazon Lex V bot is powered by automatic speech recognition ASR and natural language understanding NLU capabilities Amazon Lex V bots can understand user input provided with text or speech and converse natural language Language An Amazon Lex V bot can converse in one or more languages Each language is independent of the others you can configure Amazon Lex V to converse with a user using native words and phrases For more information see Languages and locales supported by Amazon Lex V Intent An intent represents an action that the user wants to perform You create a bot to support one or more related intents For example you might create an intent that orders pizzas and drinks For each intent you provide the following required information Intent name A descriptive name for the intent For example OrderPizza Sample utterances How a user might convey the intent For example a user might say Can I order a pizza or I want to order a pizza How to fulfill the intent How you want to fulfill the intent after the user provides the necessary information We recommend that you create a Lambda function to fulfill the intent Slot An intent can require zero or more slots or parameters You add slots as part of the intent configuration At runtime Amazon Lex V prompts the user for specific slot values The user must provide values for all required slots before Amazon Lex V can fulfill the intent For example the OrderPizza intent requires slots such as size crust type and number of pizzas For each slot you provide the slot type and one or more prompts that Amazon Lex V sends to the client to elicit values from the user A user can reply with a slot value that contains additional words such as large pizza please or let s stick with small Amazon Lex V still understands the slot value Slot type Each slot has a type You can create your own slot type or you can use built in slot types Version A version is a numbered snapshot of your work that you can publish for use in different parts of your workflow such as development beta deployment and production Alias An alias is a pointer to a specific version of a bot Happy Learning Next Tutorial Building a custom bot with automated chatbot designer in Amazon Lex Preview Conversational AI Part |
2022-03-05 14:32:54 |
ニュース |
@日本経済新聞 電子版 |
市場混乱、リスク回避加速 商品指数が週間上昇率最大
https://t.co/iGUxMb9zcd |
https://twitter.com/nikkei/statuses/1500120381205913602
|
週間 |
2022-03-05 14:45:44 |
ニュース |
@日本経済新聞 電子版 |
中国、党大会へ安定成長に腐心 減税・還付45兆円
https://t.co/eoAcwLY5sO |
https://twitter.com/nikkei/statuses/1500119107404181504
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還付 |
2022-03-05 14:40:40 |
ニュース |
@日本経済新聞 電子版 |
村岡桃佳、狙ってつかんだ「金」 滑降への不安克服
https://t.co/sh0ffCoSoG |
https://twitter.com/nikkei/statuses/1500113581769064449
|
村岡桃佳 |
2022-03-05 14:18:43 |
ニュース |
BBC News - Home |
Zara, Paypal and Samsung suspend business in Russia over Ukraine invasion |
https://www.bbc.co.uk/news/uk-60631835?at_medium=RSS&at_campaign=KARANGA
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russia |
2022-03-05 14:36:27 |
ニュース |
BBC News - Home |
War in Ukraine: Zelensky slams Nato over rejection of no-fly zone |
https://www.bbc.co.uk/news/world-europe-60629175?at_medium=RSS&at_campaign=KARANGA
|
ukrainian |
2022-03-05 14:46:26 |
ニュース |
BBC News - Home |
Marsch's first Leeds game ends in defeat at Leicester |
https://www.bbc.co.uk/sport/football/60531436?at_medium=RSS&at_campaign=KARANGA
|
league |
2022-03-05 14:38:35 |
北海道 |
北海道新聞 |
高梨3位、オプセト初V W杯ジャンプ女子第16戦 |
https://www.hokkaido-np.co.jp/article/653351/
|
高梨 |
2022-03-05 23:17:00 |
北海道 |
北海道新聞 |
石田は五輪後初戦で14位 スキーW杯距離 |
https://www.hokkaido-np.co.jp/article/653350/
|
石田 |
2022-03-05 23:07:00 |
北海道 |
北海道新聞 |
A東京が24勝目 バスケB1リーグ |
https://www.hokkaido-np.co.jp/article/653349/
|
宇都宮市 |
2022-03-05 23:07:00 |
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