投稿時間:2023-08-30 15:27:00 RSSフィード2023-08-30 15:00 分まとめ(30件)

カテゴリー等 サイト名等 記事タイトル・トレンドワード等 リンクURL 頻出ワード・要約等/検索ボリューム 登録日
ROBOT ロボスタ 成長機能をもった新モデル「子猫型ペットロボット」感情表現のパターンは100通り以上 クラファンで先行販売 https://robotstart.info/2023/08/30/kitten-robot-now-crowdfunding.html 2023-08-30 05:00:34
IT ITmedia 総合記事一覧 [ITmedia ビジネスオンライン] ケンタッキー「とろ~り月見」発売 「エッグタルト」も9年ぶり復刻 https://www.itmedia.co.jp/business/articles/2308/30/news041.html itmedia 2023-08-30 14:48:00
IT ITmedia 総合記事一覧 [ITmedia News] そごう・西武、池袋本店を臨時休業へ 労組のスト決行受け ECサイトへの影響は? https://www.itmedia.co.jp/news/articles/2308/30/news139.html itmedia 2023-08-30 14:26:00
IT ITmedia 総合記事一覧 [ITmedia PC USER] アイ・オー、セイコータイムスタンプサービスに対応した専用端末 https://www.itmedia.co.jp/pcuser/articles/2308/30/news138.html itmediapcuser 2023-08-30 14:13:00
IT ITmedia 総合記事一覧 [ITmedia ビジネスオンライン] そごう・西武“最終手段”ストライキ発動 要因は“物言わぬ”セブン https://www.itmedia.co.jp/business/articles/2308/30/news083.html itmedia 2023-08-30 14:08:00
IT 情報システムリーダーのためのIT情報専門サイト IT Leaders TIS、メインフレームのアセンブラ資産をCOBOLに変換する「アセンブラマイグレーションサービス」 | IT Leaders https://it.impress.co.jp/articles/-/25288 TIS、メインフレームのアセンブラ資産をCOBOLに変換する「アセンブラマイグレーションサービス」ITLeadersTISは年月日、アセンブラCOBOL変換サービス「アセンブラマイグレーションサービス」の提供を開始したと発表した。 2023-08-30 14:34:00
AWS AWS Japan Blog AWS 上に構築した SaaS ソリューションにおけるコンプライアンスの重要性と影響 https://aws.amazon.com/jp/blogs/news/importance-and-impact-of-compliance-for-saas-solutions-on-aws/ AWS上に構築したSaaSソリューションにおけるコンプライアンスの重要性と影響SoftwareasaServiceSaaSにおいて、セキュリティとプライバシーの標準に準拠することは、そのソリューションが業界標準を満たし、顧客の期待に沿ってユーザーデータを取り扱っていることを顧客に伝える効果的な方法です。 2023-08-30 05:06:45
Linux Ubuntuタグが付けられた新着投稿 - Qiita WSL2(Ubuntu etc.)にMongoDBを導入する https://qiita.com/iluflow/items/42bbe4cf86e1291d09e4 mongodb 2023-08-30 14:34:42
golang Goタグが付けられた新着投稿 - Qiita goroutineで並行処理しない処理を作った話 https://qiita.com/atakig/items/88975391e5db1995eb5a goroutine 2023-08-30 14:36:01
Azure Azureタグが付けられた新着投稿 - Qiita ARMテンプレートを使って Databricks + Unity Catalog を一括準備する https://qiita.com/Sugiyama_Shingo/items/5333e32aa9a8b9565724 databricksunitycatalog 2023-08-30 14:55:09
Ruby Railsタグが付けられた新着投稿 - Qiita 【Rails】Railsチュートリアルの追加機能~フォロワー通知 Vol.2~ https://qiita.com/nakaizumi_slj/items/b3fe37408990a731576a rails 2023-08-30 14:55:43
技術ブログ Developers.IO 【レポート】AIを活用したスクリプト制作支援機能に学ぶ、成功するAI支援機能の開発と導入のポイント #CEDEC2023 #classmethod_game https://dev.classmethod.jp/articles/motion-expression-recommendation-ai-assisted/ cedec 2023-08-30 05:37:27
技術ブログ Developers.IO PaLM2をVertex AIのコンソールから使ってコード化する方法も確認する https://dev.classmethod.jp/articles/vertex-ai-palm2-console/ cloud 2023-08-30 05:28:40
技術ブログ Developers.IO Firebase と Cloud Runでアプリケーション開発 #Google Cloud Next ’23 https://dev.classmethod.jp/articles/firebase-and-cloud-run-makeapp-google-cloud-next-23/ building 2023-08-30 05:26:28
海外TECH DEV Community A Beginner’s Guide to Building LLM-Powered Applications with LangChain! https://dev.to/pavanbelagatti/a-beginners-guide-to-building-llm-powered-applications-with-langchain-2d6e A Beginner s Guide to Building LLM Powered Applications with LangChain If you re a developer or simply someone passionate about technology you ve likely encountered AI tools such as ChatGPT These utilities are powered by advanced large language models LLMs Interested in taking it up a notch by crafting your own LLM based applications If so LangChain is the platform for you Let s keep everything aside and understand about LLMs first Then we can go over LangChain with a simple tutorial Sounds interesting enough Let s get going What are Large Language Models LLMs Large Language Models LLMs like GPT and GPT from OpenAI are machine learning algorithms designed to understand and generate human like text based on the data they ve been trained on These models are built using neural networks with millions or even billions of parameters making them capable of complex tasks such as translation summarization question answering and even creative writing Trained on diverse and extensive datasets often encompassing parts of the internet books and other texts LLMs analyze the patterns and relationships between words and phrases to generate coherent and contextually relevant output While they can perform a wide range of linguistic tasks they are not conscious and don t possess understanding or emotions despite their ability to mimic such qualities in the text they generate Source Credits NVIDIALarge language models primarily belong to a category of deep learning structures known as transformer networks A transformer model is a type of neural network that gains an understanding of context and significance by identifying the connections between elements in a sequence such as the words in a given sentence What is LangChain Developed by Harrison Chase and debuted in October LangChain serves as an open source platform designed for constructing sturdy applications powered by Large Language Models such as chatbots like ChatGPT and various tailor made applications Langchain seeks to equip data engineers with an all encompassing toolkit for utilizing LLMs in diverse use cases such as chatbots automated question answering text summarization and beyond LangChain is composed of modules explained below Image credits ByteByteGoLarge Language Models LangChain serves as a standard interface that allows for interactions with a wide range of Large Language Models LLMs Prompt Construction LangChain offers a variety of classes and functions designed to simplify the process of creating and handling prompts Conversational Memory LangChain incorporates memory modules that enable the management and alteration of past chat conversations a key feature for chatbots that need to recall previous interactions Intelligent Agents LangChain equips agents with a comprehensive toolkit These agents can choose which tools to utilize based on user input Indexes Indexes in LangChain are methods for organizing documents in a manner that facilitates effective interaction with LLMs Chains While using a single LLM may be sufficient for simpler tasks LangChain provides a standard interface and some commonly used implementations for chaining LLMs together for more complex applications either among themselves or with other specialized modules How Does LangChain Work LangChain is composed of large amounts of data and it breaks down that data into smaller chunks which can be easily be embedded into vector store Now with the help of LLMs we can retrieve the only information that is needed When a user inserts a prompt LangChain will query the Vector Store for relevant information When an exact or almost matching information is found we feed that information to LLM to complete or generate the answer that user is looking for Get Started with LangChainLet s use SingleStore s Notebooks feature it is FREE to use as our development environment for this tutorial The SingleStore Notebook extends the capabilities of Jupyter Notebook to enable data professionals to easily work and play around What is SingleStore SingleStore is a distributed in memory SQL database management system designed for high performance high velocity applications It offers real time analytics and mixes the capabilities of a traditional operational database with that of an analytical database to allow for transactions and analytics to be performed in a single system Signup for SingleStore to use the Notebooks Once you sign up to SingleStore you will also receive worth free computing resources So why not use this opportunity Click on Notebooks and start with a blank Notebook Name it something like LangChain Tutorial or as per your wish Let s start working with our Notebook that we just created Follow this step by step guide and keep adding the code shown in each step in your Notebook and execute it Let s start Now to use Langchain let s first install it with the pip command pip install q langchainTo work with LangChain you need integrations with one or more model providers like OpenAI or Hugging Face In this example let s leverage OpenAI s APIs so let s install it pip install q openaiNext we need to setup the environment variable to playaround Let s do that import osos environ OPENAI API KEY Your API Key Hope you know how to get Your API Key if not go to this link to get your OpenAI API key Note Make sure you still have the quota to use your API Key Next let s get an LLM like OpenAI and predict with this model Let s ask our model the top most populated cities in the world from langchain llms import OpenAIllm OpenAI temperature text what are the most populated cities in the world print llm text As you can see our model made a prediction and printed the most populated cities in the world Prompt TemplatesLet s first define the prompt template from langchain prompts import PromptTemplate Creating a promptprompt PromptTemplate input variables input template what are the most input cities in the world We created our prompt To get a prediction let s now call the format method and pass it an input Creating ChainsSo far we ve seen how to initialize a LLM model and how to get a prediction with this model Now let s take a step forward and chain these steps using the LLMChain class from langchain chains import LLMChain Instancing a LLM modelllm OpenAI temperature Creating a promptprompt PromptTemplate input variables attribute template What is the largest attribute in the world You can see the prediction of the model Developing an Application Using LangChain LLMAgain use SingleStore s Notebooks as the development environment Let s develop a very simple chat application Start with a blank Notebook and name it as per your wish First install the dependencies pip install langchain openaiNext import the installed dependencies from langchain import ConversationChain OpenAI PromptTemplate LLMChainfrom langchain memory import ConversationBufferWindowMemoryGet your OpenAI API key and save it safely Add and customize the LLM template Customize the LLM template template Assistant is a large language model trained by OpenAI history Human human input Assistant prompt PromptTemplate input variables history human input template template Load the ChatGPT chain with your API key you saved safely Add the human input as What is SingleStore You can change your input to whatever you want chatgpt chain LLMChain llm OpenAI openai api key YOUR API KEY temperature prompt prompt verbose True memory ConversationBufferWindowMemory k Predict a sentence using the chatgpt chainoutput chatgpt chain predict human input What is SingleStore Display the model s responseprint output The script initializes the LLM chain using the OpenAI API key and a preset prompt It then takes user input and shows the resulting output The expected output is as shown below Play with this by changing the human input text content The complete execution steps in code format is available on GitHub LangChain emerges as an indispensable framework for data engineers and developers striving to build cutting edge applications powered by large language models Unlike traditional tools and platforms LangChain offers a more robust and versatile framework tailored for complex AI applications LangChain is not just another tool in a developer s arsenal it s a transformative framework that redefines what is possible in the realm of AI powered applications In the realm of GenAI applications and LLMs it is highly recommended to know about vector databases I recently wrote a complete overview on vector databases you might like to go through that article WTF Is a Vector Database A Beginner s Guide Pavan Belagatti・Aug database ai devops developers Note There is much more to learning LLMs and LangChain and this is my first attempt in writing something about this framework This is not a complete guide on LangChains Please go through more articles and tutorials to understand in depth about LangChain Don t forget to signup for SingleStore to use the free Notebooks feature Play around amp have fun learning Disclaimer ChatGPT assisted with only some sections of this article 2023-08-30 05:11:03
海外TECH CodeProject Latest Articles 16bit Normal Vectors Compression using Spherical Coordinate https://www.codeproject.com/Articles/5366994/16bit-Normal-Vectors-Compression-using-Spherical-C value 2023-08-30 05:10:00
ニュース BBC News - Home Gabon: Army officers say they are taking power https://www.bbc.co.uk/news/world-africa-66654965?at_medium=RSS&at_campaign=KARANGA bongo 2023-08-30 05:49:37
ニュース BBC News - Home Rape survivors 'battered and bruised' by justice system https://www.bbc.co.uk/news/uk-scotland-66634382?at_medium=RSS&at_campaign=KARANGA offences 2023-08-30 05:14:40
ニュース BBC News - Home Para-ice hockey: Dani Czernuszka-Watts finds 'normality' through sport after being paralysed in rugby tackle https://www.bbc.co.uk/sport/disability-sport/66545298?at_medium=RSS&at_campaign=KARANGA Para ice hockey Dani Czernuszka Watts finds x normality x through sport after being paralysed in rugby tackleIn Dani Czernuszka Watts was paralysed in a reckless rugby tackle Nearly six years on she is playing Para ice hockey for Great Britain 2023-08-30 05:44:08
ビジネス 不景気.com 富山の美容室経営「ロルド」に破産開始決定、負債13億円 - 不景気com https://www.fukeiki.com/2023/08/rold.html 富山県富山市 2023-08-30 05:30:09
ニュース Newsweek 「なんでこんなキャスティングに?」...小人症の「WWEレスラー」ディラン・ポステルが切り開く、ハリウッド俳優の道 https://www.newsweekjapan.jp/stories/culture/2023/08/post-102523.php 私は小人症だ。 2023-08-30 14:45:48
ニュース Newsweek エミリー・ラタコウスキー、ほぼ全裸の貝殻ビキニ姿を披露...「大事な部分を隠しきれていない」との意見も https://www.newsweekjapan.jp/stories/culture/2023/08/post-102525.php 【画像】【動画】エミリー、ほぼ全裸の貝殻ビキニ姿を披露「大事な部分を隠しきれていない」との意見もエミリーは月日、自身のブランド、イナモラータの新作ビキニ姿をインスタグラムで披露した。 2023-08-30 14:40:00
IT 週刊アスキー 『ディアブロ IV』母の祝福ウィークエンドが日本時間9月2日より開始! https://weekly.ascii.jp/elem/000/004/153/4153020/ activision 2023-08-30 14:45:00
IT 週刊アスキー 新宿地下ラーメン限定メニューを提供 「#新宿地下ラーメン」に「自家製麺中華そば 麺の虜」が出店中 https://weekly.ascii.jp/elem/000/004/152/4152994/ shinjukudelishpark 2023-08-30 14:15:00
IT 週刊アスキー 大人のための贅沢なバーアイス「PARM(パルム)」より「モンブラン」が登場 https://weekly.ascii.jp/elem/000/004/152/4152998/ 森永乳業 2023-08-30 14:15:00
IT 週刊アスキー クラシックスタイルRPG『Sea of Stars』配信中!Switchパッケージ版も予約受付スタート https://weekly.ascii.jp/elem/000/004/152/4152999/ onenintendoswitchpcsteam 2023-08-30 14:15:00
IT 週刊アスキー CryptoNinja(クリプトニンジャ)の世界を楽しめる「CNP Land」、ゲームプラットフォーム「The Sandbox」で公開 https://weekly.ascii.jp/elem/000/004/152/4152976/ cnpland 2023-08-30 14:30:00
IT 週刊アスキー 災害時に欲しいアイテムが詰まったアンカーの防災セット 500個限定で予約受付中 https://weekly.ascii.jp/elem/000/004/153/4153018/ ankerpowerbag 2023-08-30 14:45:00
マーケティング AdverTimes ブランドらしさと自身の感覚を結ぶ表現を見出す/波間知良子(サン・アド/TCC賞2023最高新人賞) https://www.advertimes.com/20230830/article432036/ 青天の霹靂 2023-08-30 05:27:19
海外TECH reddit 松野官房長官、朝鮮人虐殺「記録ない」 関東大震災 https://www.reddit.com/r/newsokuexp/comments/1655o8w/松野官房長官朝鮮人虐殺記録ない_関東大震災/ ornewsokuexplinkcomments 2023-08-30 05:18:25

コメント

このブログの人気の投稿

投稿時間:2021-06-17 05:05:34 RSSフィード2021-06-17 05:00 分まとめ(1274件)

投稿時間:2021-06-20 02:06:12 RSSフィード2021-06-20 02:00 分まとめ(3871件)

投稿時間:2020-12-01 09:41:49 RSSフィード2020-12-01 09:00 分まとめ(69件)