Kubernetesでアプリの安定稼働と高頻度のアップデートを両立するためのプラクティス / Best Practices for Applications on Kubernetes�to Achieve Both Frequent Updates and Stability
Kubernetesでアプリの安定稼働と高頻度のアップデートを両立するためのプラクティス / Best Practices for Applications on Kubernetes�to Achieve Both Frequent Updates and Stability
Kubernetesでアプリの安定稼働と高頻度のアップデートを両立するためのプラクティス / Best Practices for Applications on Kubernetes�to Achieve Both Frequent Updates and Stability
良いアプリケーションをデザインするための感覚の持ち方 / Cultivating a Sense for Designing Great Applications
｢良いアプリケーションをデザインするための感覚の持ち方｣ ソフトウェアのデザインでは、プラットフォームのシステムとクリエイター独自のコンセプトとが矛盾なく成り立つことに強く意識を向けなければなりません。調和の取れた良いUIを目指すことは、ユーザーにとって親しみやすく、…
Announcing Storage Browser for Amazon S3 for your web applications (alpha release) - AWS
Announcing Storage Browser for Amazon S3 for your web applications (alpha release) Amazon S3 is announcing the alpha release of Storage Browser for S3, an open source component that you can add to your web applications to provide your end users with a simple interface for data stored in S3. With Storage Browser for S3, you can provide authorized end users access to easily browse, download, and upl
GitHub - toshusai/cmpui: CmpUI is a component library designed for creating complex GUI applications in web browsers.
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Release v0.7.1 - Precision Memory Control in LLM Applications with Conversation Variables
GitHub - awslabs/llrt: LLRT (Low Latency Runtime) is an experimental, lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications.
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GitHub - hyperlight-dev/hyperlight: Hyperlight is a lightweight Virtual Machine Manager (VMM) designed to be embedded within applications. It enables safe execution of untrusted code within micro virtual machines with very low latency and minimal overhead
Hyperlight is a library for creating micro virtual machines — or sandboxes — specifically optimized for securely running untrusted code with minimal impact. It supports both Windows and Linux, utilizing Windows Hypervisor Platform on Windows, and either Microsoft Hypervisor (mshv) or KVM on Linux. These micro VMs operate without a kernel or operating system, keeping overhead low. Instead, guests a
A Guide on 12 Tuning Strategies for Production-Ready RAG Applications
This article covers the following “hyperparameters” sorted by their relevant stage. In the ingestion stage of a RAG pipeline, you can achieve performance improvements by: Data cleaningChunkingEmbedding modelsMetadataMulti-indexingIndexing algorithmsAnd in the inferencing stage (retrieval and generation), you can tune: Query transformationsRetrieval parametersAdvanced retrieval strategiesRe-ranking
A Cheat Sheet and Some Recipes For Building Advanced RAG — LlamaIndex, Data Framework for LLM Applications
It’s the start of a new year and perhaps you’re looking to break into the RAG scene by building your very first RAG system. Or, maybe you’ve built Basic RAG systems and are now looking to enhance them to something more advanced in order to better handle your user’s queries and data structures. In either case, knowing where or how to begin may be a challenge in and of itself! If that’s true, then h
Garnet–open-source faster cache-store speeds up applications, services
Researchers at Microsoft have been working for nearly a decade to address the increasing demand for data storage mechanisms to support the rapid advances in interactive web applications and services. Our new cache-store system called Garnet, which offers several advantages over legacy cache-stores, has been deployed in multiple use cases at Microsoft, such as those in the Windows & Web Experiences
Building and Evaluating Advanced RAG Applications - DeepLearning.AI
Learn methods like sentence-window retrieval and auto-merging retrieval, improving your RAG pipeline’s performance beyond the baseline. Learn evaluation best practices to streamline your process, and iteratively build a robust system. Dive into the RAG triad for evaluating the relevance and truthfulness of an LLM’s response:Context Relevance, Groundedness, and Answer Relevance. Retrieval Augmented
GitHub - SciPhi-AI/R2R: The Supabase for RAG - R2R lets you build, scale, and manage user-facing Retrieval-Augmented Generation applications in production.
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Using localStorage in Modern Applications: A Comprehensive Guide When it comes to client-side storage in web applications, the localStorage API stands out as a simple and widely supported solution. It allows developers to store key-value pairs directly in a user's browser. In this article, we will explore the various aspects of the localStorage API, its advantages, limitations, and alternative sto
When a single-page application needs to fetch data from a remote source, it needs to do so while remaining responsive and providing feedback to the user during an often slow query. Five patterns help with this. Asynchronous State Handler wraps these queries with meta-queries for the state of the query. Parallel Data Fetching minimizes wait time. Fallback Markup specifies fallback displays in marku
GitHub - SylphAI-Inc/LightRAG: The PyTorch Library for LLM Applications.
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Import entire applications into AWS CloudFormation | Amazon Web Services
AWS DevOps Blog Import entire applications into AWS CloudFormation AWS Infrastructure as Code (IaC) enables customers to manage, model, and provision infrastructure at scale. You can declare your infrastructure as code in YAML or JSON by using AWS CloudFormation, in a general purpose programming language using the AWS Cloud Development Kit (CDK), or visually using Application Composer. IaC configu
Amazon CloudFront announces managed cache policies for web applications - AWS
Amazon CloudFront announces managed cache policies for web applications Amazon CloudFront announces two new managed cache policies, UseOriginCacheControlHeaders and UseOriginCacheControlHeaders-QueryStrings, for dynamically generated websites and applications that return Cache-Control headers. With the new managed cache policies, CloudFront caches content based on the Cache-Control headers returne
GitHub - stackblitz/bolt.new: Prompt, run, edit, and deploy full-stack web applications
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Re-platforming Java applications using the updated AWS Serverless Java Container | Amazon Web Services
AWS Compute Blog Re-platforming Java applications using the updated AWS Serverless Java Container This post is written by Dennis Kieselhorst, Principal Solutions Architect. The combination of portability, efficiency, community, and breadth of features has made Java a popular choice for businesses to build their applications for over 25 years. The introduction of serverless functions, pioneered by
Over the past few months, I have been thinking a lot about workflows to automatically and dynamically improve LLM applications using production data. This stems from our research on validating data quality in LLM pipelines and applications—which is starting to be productionized in both vertical AI applications and LLMOps companies. (I am always very thankful to the teams in industry who find my wo
Statement of ICC Prosecutor Karim A.A. Khan KC: Applications for arrest warrants in the situation in the State of Palestine
Yahya Sinwar, Mohammed Diab Ibrahim Al-Masri (Deif), Ismail Haniyeh On the basis of evidence collected and examined by my Office, I have reasonable grounds to believe that Yahya SINWAR (Head of the Islamic Resistance Movement (“Hamas”) in the Gaza Strip), Mohammed Diab Ibrahim AL-MASRI, more commonly known as DEIF (Commander-in-Chief of the military wing of Hamas, known as the Al-Qassam Brigades),
GitHub - levkk/rwf: Comprehensive framework for building web applications in Rust.
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How to Identify and Remove VPN Applications That Contain 911 S5 Backdoors | Federal Bureau of Investigation
The FBI, the Defense Criminal Investigative Service, and the Department of Commerce's Office of Export Enforcement have published a public service announcement (the “PSA”) for individuals and businesses to better understand and guard against the 911 S5 residential proxy service and botnet. The PSA is available at ic3.gov/Media/Y2024/PSA240529. As explained in the PSA, 911 S5 began operating in May
Build generative AI applications with Amazon Bedrock Studio (preview) | Amazon Web Services
AWS News Blog Build generative AI applications with Amazon Bedrock Studio (preview) Update May 22, 2024: This post has been updated to include a link to the Amazon Bedrock Studio bootstrapper script that automates the creation of the permissions boundary, service role, and provisioning role required to create workspaces in Amazon Bedrock Studio. Update May 7, 2024: Updated screenshots in this post
LLMアプリケーションのテストに関する決定版ガイド「The Definitive Guide to Testing LLM Applications」の紹介 #LangChain - Generative Agents Tech Blog
ジェネラティブエージェンツの大嶋です。 先日LangChainから、LLMアプリケーションのテストに関する決定版ガイド「The Definitive Guide to Testing LLM Applications」が公開されました。 LangChain公式によるXでのアナウンスはこちらです。 The Definitive Guide to Testing LLM Applications by LangChain Reviewing LLM app responses can be a time-consuming and daunting process, from defining criteria for style and accuracy, to spotting new regressions. After partnering with hundreds of compa
GitHub - serverless/aws-ai-stack: AWS AI Stack – A ready-to-use, full-stack boilerplate project for building serverless AI applications on AWS
AWS AI Stack – A ready-to-use, full-stack boilerplate project for building serverless AI applications on AWS. A great fit for those seeking a trusted AWS foundation for AI apps and access to powerful LLM models via Bedrock that keep your app’s data separate from model providers. View the Live Demo – awsaistack.com Use this as a boilerplate project to create an AI Chat bot, authentication service
CheerpJ 3.0 now available: A WebAssembly JVM to run real-world applications in the browser
Back to blog CheerpJ 3.0 now available A WebAssembly JVM to run real-world applications in the browser CheerpJ 3.0, a state-of-the-art WebAssembly JVM that runs in the browser, is now available! In this post, we’ll give an overview of what CheerpJ is, what this new major release brings, and share an exciting demo we’ve been working on. CheerpJ 3.0 replaces CheerpJ 2.3 as our long-term supported ve
Security Best Practices for GenAI Applications (OpenAI) in Azure
Introduction GenAI applications are those that use large language models (LLMs) to generate natural language texts or perform natural language understanding tasks. LLMs are powerful tools that can enable various scenarios such as content creation, summarization, translation, question answering, and conversational agents. However, LLMs also pose significant security challenges that need to be addre
Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock | Amazon Web Services
AWS Machine Learning Blog Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock Retrieval Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by incorporating external knowledge sources. It allows LLMs to reference authoritative knowledge bases or internal repositories before generating responses, producing output tailored to
Pre-translation vs. direct inference in multilingual LLM applications
Philosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more
Amazon EKS Pod Identity simplifies IAM permissions for applications on Amazon EKS clusters | Amazon Web Services
AWS News Blog Amazon EKS Pod Identity simplifies IAM permissions for applications on Amazon EKS clusters Starting today, you can use Amazon EKS Pod Identity to simplify your applications that access AWS services. This enhancement provides you with a seamless and easy to configure experience that lets you define required IAM permissions for your applications in Amazon Elastic Kubernetes Service (Am
GitHub - anthropics/anthropic-quickstarts: A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API
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Layered Design for Ruby on Rails Applications を読んだ時のメモ用
Layered Design for Ruby on Rails Applications 気になっていたので読んでみる。 zennのスクラップを使ってみたかった && 気になった箇所とか軽くメモしたり、感想を書いてみようかなと思った。 Chapter1: Rails as a Web Application Framework 概要 この章はRailsが用意してくれてる抽象化についての説明。 Railsがwebリクエストを処理するときの抽象化レイヤー バックグラウンド処理の抽象化レイヤー データベース周りの抽象化レイヤー の大枠3つ 気になったことメモ & 感想 trace_location (https://github.com/yhirano55/trace_location) のgem使ってみたい。 # こんな感じで特定の処理をtraceしてくれるっぽい TraceLocation
この記事は毎週必ず記事がでるテックブログ "Loglass Tech Blog Sprint" の 3週目 の記事です！ 1年間連続達成まで 残り50週 となりました！ LLM盛り上がってますね！ 弊社も多分に漏れず専任チームを立ち上げて、弊社におけるwhy LLMを見出そうと試行錯誤しています。 個人的にもLLM Applicationsを継続的に開発・運用する技術について色々考えている今日この頃ですが、先日OWASP Top 10 for Large Language Model Applicationsのversion 1.0が出ました。 OWASP Top10 for LLMは、LLMを利用するアプリケーションで発見された重大な脆弱性とセキュリティガイドラインに関するレポートです。 レポートでも述べられていますが、昨今はLLMの取り組みが猛烈に進んでいる中で、包括的なセキュリティプ
GitHub - microsoft/prompty: Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for d
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GitHub - Avaiga/taipy: Turns Data and AI algorithms into production-ready web applications in no time.
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GitHub - cohere-ai/cohere-toolkit: Cohere Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.
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Build enterprise-grade applications with natural language using AWS App Studio (preview) | Amazon Web Services
AWS News Blog Build enterprise-grade applications with natural language using AWS App Studio (preview) Organizations often struggle to solve their business problems in areas like claims processing, inventory tracking, and project approvals. Custom business applications could provide a solution to solve these problems and help an organization work more effectively, but have historically required a
GitHub - nitrictech/nitric: Nitric is a multi-language framework for cloud applications with infrastructure from code.
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Precision Medicine Market Projected to Reach USD 159.77 Billion by 2032, Exhibiting a Remarkable CAGR of 12.5%: Analysis of Technological Advancements, Therapeutic Applications, and Strategic Industry Growth Factors
Precision Medicine Market Projected to Reach USD 159.77 Billion by 2032, Exhibiting a Remarkable CAGR of 12.5%: Analysis of Technological Advancements, Therapeutic Applications, and Strategic Industry Growth Factors 03-15-2024 05:37 PM CET | Health & Medicine Press release from: Market Research Future (MRFR) / PR Agency: Market Research Future (MRFR) Market Overview The precision medicine market h
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Using localStorage in Modern Applications - A Comprehensive Guide | RxDB - JavaScript Database
Data Fetching Patterns in Single-Page Applications
Data Flywheels for LLM Applications
OWASP Top 10 for LLMでLLM Applicationsのセキュリティについて学ぶ