New – Amazon Aurora I/O-Optimized Cluster Configuration with Up to 40% Cost Savings for I/O-Intensive Applications | Amazon Web Services
AWS News Blog New – Amazon Aurora I/O-Optimized Cluster Configuration with Up to 40% Cost Savings for I/O-Intensive Applications Since Amazon Aurora launched in 2014, hundreds of thousands of customers have chosen Aurora to run their most demanding applications. Aurora provides unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility at up to one-
[ GitHub | Notebook | Anyscale Endpoints | Ray Docs] · 55 min read Note: Check out the new evaluation reports and cost analysis with mixtral-8x7b-instruct-v0.1 and our data flywheel workflow to continuously improve our RAG applications. In this guide, we will learn how to: 💻 Develop a retrieval augmented generation (RAG) based LLM application from scratch. 🚀 Scale the major workloads (load, ch
Command line apps in Rust Rust is a statically compiled, fast language with great tooling and a rapidly growing ecosystem. That makes it a great fit for writing command line applications: They should be small, portable, and quick to run. Command line applications are also a great way to get started with learning Rust; or to introduce Rust to your team! Writing a program with a simple command line
Lambdaの裏側を知りたい人にオススメ Firecrackerに関する論文「Firecracker: Lightweight Virtualization for Serverless Applications」の紹介 | DevelopersIO
Lambdaの裏側を知りたい人にオススメ Firecrackerに関する論文「Firecracker: Lightweight Virtualization for Serverless Applications」の紹介 CX事業本部＠大阪の岩田です。 Firecrackerに関する論文「Firecracker: Lightweight Virtualization for Serverless Applications」を読んだので、かいつまんで内容を紹介させて頂きます。 Firecracker: Lightweight Virtualization for Serverless Applications NSDI '20というイベントでこの論文の内容について発表しているセッションの動画がYoutubeに上がっていたので、興味のある方は是非こちらもご覧ください。 以下論文の概要です。 A
Publish, ship, and install modern JavaScript for faster applications Stay organized with collections Save and categorize content based on your preferences. Over 90% of browsers are capable of running modern JavaScript, but the prevalence of legacy JavaScript remains a large source of performance problems on the web today. Modern JavaScript Modern JavaScript is not characterized as code written in
Techfeed Conference 2022 #React
Even though I work pretty much everyday with TypeScript there's something new I learn about frequently. I really enjoy working with it and try to get the most out of it whenever possible - and there's one thing for sure: TypeScript can do a lot of things. So here are some things I've learned through time which helped me to improve my applications and - ultimately - become a better TypeScript devel
Announcing Distributed Application Runtime (Dapr), an open source project to make it easier for every developer to build microservice applications - Microsoft Open Source Blog
Announcing Distributed Application Runtime (Dapr), an open source project to make it easier for every developer to build microservice applications Toggle share menu for: Announcing Distributed Application Runtime (Dapr), an open source project to make it easier for every developer to build microservice applications Share Share Announcing Distributed Application Runtime (Dapr), an open source proje
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
GitHub - small-tech/jsdb: A transparent, in-memory, streaming write-on-update JavaScript database for Small Web applications that persists to a JavaScript transaction log.
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PaLM API & MakerSuite: an approachable way to start prototyping and building generative AI applications
PaLM API & MakerSuite: an approachable way to start prototyping and building generative AI applications Posted by Scott Huffman, Vice President, Engineering and Josh Woodward, Senior Director, Product Management We’re seeing a new wave of generative AI applications that are transforming the way people interact with technology – from games and dialog agents to creative brainstorming and coding tool
Announcing CheerpJ 3.0: A JVM replacement in HTML5 and WebAssembly to run Java applications (and applets) on modern browsers
Back to blog Announcing CheerpJ 3.0 A JVM replacement in HTML5 and WebAssembly to run Java applications (and applets) on modern browsers TLDR: for the past year, we have been working on a new architecture for CheerpJ: our implementation of the JVM in HTML5/WebAssembly, designed to run Java applications on the browser. CheerpJ 3.0 will be released in the late summer of 2023, and will be easier to u
How to tackle hard combinatorial optimization problems arising in real applications?
実務に現れる多くの事例が組合せ最適化問題にモデル化できることが再認識されるようになりました． しかし，その多くはNP困難問題と呼ばれる計算困難な組合せ最適化問題であり，どのようにアプローチすれば良いか悩んでいる人は少なくないと思います． 本講演では，実務に現れる組合せ最適化問題に対する実践的なアプローチを説明した後に，具体的な事例として「電子ジャーナルの購読計画」と「カタログレイアウトの自動作成」をご紹介します． 特に，数理最適化の教科書や専門書はアルゴリズムや理論の話題が中心なので，講演では具体的な事例を通じてモデル化やヒューリスティクスの話題をご紹介したいと思います．
GitHub - quay/quay: Build, Store, and Distribute your Applications and Containers
⚠️ The master branch may be in an unstable or even broken state during development. Please use releases instead of the master branch in order to get stable software. Project Quay builds, stores, and distributes your container images. High-level features include: Docker Registry Protocol v2 Docker Manifest Schema v2.1, v2.2 AppC Image Discovery via on-demand transcoding Image Squashing via on-deman
GitHub - run-llama/llama_index: LlamaIndex is a data framework for your LLM applications
LlamaIndex (GPT Index) is a data framework for your LLM application. Building with LlamaIndex typically involves working with LlamaIndex core and a chosen set of integrations (or plugins). There are two ways to start building with LlamaIndex in Python: Starter: llama-index (https://pypi.org/project/llama-index/). A starter Python package that includes core LlamaIndex as well as a selection of inte
GitHub - Shopify/hydrogen: Hydrogen is Shopify’s stack for headless commerce. It provides a set of tools, utilities, and best-in-class examples for building dynamic and performant commerce applications. Hydrogen is designed to dovetail with Remix, Shopify
Hydrogen is Shopify’s stack for headless commerce. It provides a set of tools, utilities, and best-in-class examples for building dynamic and performant commerce applications. Hydrogen is designed to dovetail with Remix, Shopify’s full stack web framework, but it also provides a React library portable to other supporting frameworks. Demo store 👇🏼
GitHub - vmware-labs/wasm-workers-server: 🚀 Develop and run serverless applications on WebAssembly
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AWS Fargate, the serverless compute engine for Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS), now enables customers to scale applications faster, improving performance and reducing wait time. We have made several improvements over the last year that enable you to scale applications up to 16X faster, making it easier to build and run applications at a larger sca
GitHub - fastly/js-compute-runtime: JavaScript SDK and runtime for building Fastly Compute applications
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GitHub - CondensationDS/Condensation: Condensation is an open-source data system for building cloud applications while keeping the ownership of data.
Condensation is a open-source general-purpose distributed data system. Its implementation provides conflict-free synchronization, data integrity, and end-to-end security by design. It is a lightweight solution representing around 15000 lines of code, and composed of three modules: 📝 A client module : the core module allowing to structure the data from a local mutable database into an immutable bl
How To Secure Node.js Applications with a Content Security Policy | DigitalOcean
The author selected the Free Software Foundation to receive a donation as part of the Write for DOnations program. Introduction When the browser loads a page, it executes a lot of code to render the content. The code could be from the same origin as the root document, or a different origin. By default, the browser does not distinguish between the two and executes any code requested by a page regar
GitHub - sst/sst: Build modern full-stack applications on AWS
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AWS Application Composer Now Generally Available – Visually Build Serverless Applications Quickly | Amazon Web Services
AWS News Blog AWS Application Composer Now Generally Available – Visually Build Serverless Applications Quickly At AWS re:Invent 2022, we previewed AWS Application Composer, a visual builder for you to compose and configure serverless applications from AWS services backed by deployment-ready infrastructure as code (IaC). In the keynote, Dr. Werner Vogels, CTO of Amazon.com said: Developers that ne
Transformer is a deep neural network that employs a self-attention mechanism to comprehend the contextual relationships within sequential data. Unlike conventional neural networks or updated versions of Recurrent Neural Networks (RNNs) such as Long Short-Term Memory (LSTM), transformer models excel in handling long dependencies between input sequence elements and enable parallel processing. As a r
Modern applications at AWSAugust 28, 2019 • 2269 words Innovation has always been part of the Amazon DNA, but about 20 years ago, we went through a radical transformation with the goal of making our iterative process—"invent, launch, reinvent, relaunch, start over, rinse, repeat, again and again"—even faster. The changes we made affected both how we built applications and how we organized our comp
GitHub - microsoft/FluidFramework: Library for building distributed, real-time collaborative web applications
The core code for both the Fluid client packages and the reference ordering service is contained within this repo. The repo structure is somewhat unique because it contains several pnpm workspaces: some for individual packages and some for larger collections which we call "release groups". The workspaces are versioned separately from one another, but internally all packages in a workspaces are ver
GitHub - mayuki/Cocona: Micro-framework for .NET console application. Cocona makes it easy and fast to build console applications on .NET.
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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
GOMEMLIMIT is a game changer for high-memory applications | Weaviate - Vector Database
IntroRunning out of memory is never fun, but it's incredibly frustrating when you've already taken some precautions and calculated your exact memory needs. "My application requires 4GB of memory. How is it possible I ran out of memory on my 6GB machine!?". As it turns out, this was a real possibility in a garbage collected ("GC") language like Golang. The emphasis is on the word "was" because Go
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
GitHub - pointfreeco/swift-composable-architecture: A library for building applications in a consistent and understandable way, with composition, testing, and ergonomics in mind.
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[レポート] サーバーレスアプリケーション向けネットワークのベストプラクティス Networking best practices for serverless applications #SVS404 #reinvent | DevelopersIO
CX事業本部@大阪の岩田です。 本エントリはAWS re:Invent 2019のセッションSVS404 Networking best practices for serverless applicationsのレポートとなります。 セッション情報 Serverless technologies such as AWS Lambda have removed the burden of server management, but what about networking? When should you put a Lambda in an Amazon VPC? How do you balance security vs. the flexibility offered by Lambda? What are the best practices for working with
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GitHub - dapr/dapr: Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
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Building towards a new default rendering model for web applications – Vercel
Building towards a new default rendering model for web applicationsA look at Partial Prerendering with Next.js 14 on Vercel. At this year’s Next.js Conf, we discussed the developer and user experience challenges of global delivery of dynamic web applications. How can we fetch data without expensive waterfalls and also deliver content directly from the edge? The answer to all of these current chall
In this article, I want to discuss the kinds of properties that make working with CSS hard and the kinds of properties developers want out of the system. We will then analyze common solutions and how they stack against these goals. Finally, I will propose a solution that checks off all the boxes. Like so many other things on the web, CSS was designed for documents, not applications. As such, the d
There are many different ways to build with LLMs, including training models from scratch, fine-tuning open-source models, or using hosted APIs. The stack we’re showing here is based on in-context learning, which is the design pattern we’ve seen the majority of developers start with (and is only possible now with foundation models). The next section gives a brief explanation of this pattern; experi
GitHub - awslabs/aws-lambda-web-adapter: Run web applications on AWS Lambda
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GitHub - vobyjs/voby: A high-performance framework with fine-grained observable-based reactivity for building rich applications.
This works similarly to Solid, but without a custom Babel transform and with a different API. No VDOM: there's no VDOM overhead, the framework deals with raw DOM nodes directly. No stale closures: functions are always executed afresh, no need to worry about previous potential executions of the current function, ever. No rules of hooks: hooks are just regular functions, which you can nest indefinit
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 G
GitHub - ToolJet/ToolJet: Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScri
ToolJet is an open-source low-code framework to build and deploy internal tools with minimal engineering effort. ToolJet's drag-and-drop frontend builder allows you to create complex, responsive frontends within minutes. Additionally, you can integrate various data sources, including databases like PostgreSQL, MongoDB, and Elasticsearch; API endpoints with OpenAPI spec and OAuth2 support; SaaS too
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Building RAG-based LLM Applications for Production
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