Developing a robust, scalable, and efficient system can be daunting. However, understanding the key concepts and components can make the process more manageable. In this blog post, we’ll explore essential system design components such as DNS, load balancing, API Gateway, and more, along with a concise cheat sheet that can help developers design systems of varying complexity.
Contextual bandit models are a popular approach for personalizing the user experience by recommending relevant products. However, these models become challenging to train and evaluate when the number of actions, or products, in the recommendation pool become large. In this blog post, we will explore the difficulties associated with using contextual bandit models in large action spaces and propose potential solutions to overcome these challenges. One of these solutions was recently launched into production at Instacart.
A frontend Framework for building data-driven applications running in the browser on top of REST/GraphQL APIs, using ES6, React and Material Design. Open sourced and maintained by marmelab.
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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).
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Visually design and build serverless applications| Serverless Office Hours
In this solidity course you will learn about solidity programming language along with that you will be building web3 decentralized solidity power web3 app.
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In software engineering, a design pattern is a general repeatable solution to a commonly occurring problem in software design. A design pattern isn’t a finished design that can be transformed directly into code. It is a description or template for how to solve a problem that can be used in many different situations.
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Server-sent events (SSE) is a way to send data to the browser without reloading the page. This allows you to use streaming data and build real-time applications that can be used in a variety of scenarios.
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System design is a very broad topic. Even a software engineer with many years of working experience at a top IT company may not be an expert on system design. If you want to become an expert, you need to read many books, articles, and solve real large scale system design problems.
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Dust apps rely on model providers to interact with large language models. You can setup your first model provider by clicking on the Providers pane and setting up the OpenAI provider. You’ll need to create an account at OpenAI and retrieve your API key.
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Use Lightning, the hyper-minimalistic framework, to build machine learning components that can plug into existing ML workflows. A Lightning component organizes arbitrary code to run on the cloud, manage its own infrastructure, cloud costs, networking, and more. Focus on component logic and not engineering.
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This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale and secure your production machine learning
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