Hugging Face Reviews

Amazon AWS Reviews

1. macloughlin

   | AV engineer | 11 months ago
   The best cloud platform out there

   You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.

   👍 Pros:    Great documentation|Website structure visualization|You have control over everything|Flexibility

   👎 Cons:    Learning curve|A lot of dashboards for different things

Hugging Face mentions (262)

• 100% Free Vector Search with OpenLlama, Postgres, NodeJS and NextJS

  So you want to try out vector search but you don’t want to pay OpenAI, or use Huggingface, and you don’t want to pay a vector database company. I’m here for you. Let’s get vector search going, on your own machine, for free. - Source: dev.to / 2 days ago

• Deploy the vLLM Inference Engine to Run Large Language Models (LLM) on Koyeb

  Hugging Face account with a read-only API token. You will use this to fetch the models that vLLM will run. You may also need to accept the terms and conditions or usage license agreements associated with the models you intend to use. In some cases, you may need to request access to the model from the model owners on Hugging Face. For this guide, make sure you have accepted any terms required for the... - Source: dev.to / 8 days ago

• Leverage AI with Twilio for Hotelier

  This template ships with Google Gemini models/gemini-1.0-pro-001 as the default. However, thanks to the Vercel AI SDK, you can switch LLM providers to OpenAI, Anthropic, Cohere, Hugging Face, or using LangChain with just a few lines of code. - Source: dev.to / 10 days ago

• OpenAI api RAG system with Qdrant

  I wanted to get a project for running my own pipeline with somewhat interchangeable parts. Models can be swapped around so that you can make the most of the latest models either available on Hugginface, OpenAI or wherever. - Source: dev.to / about 2 months ago

• Generating replies using Huggingface interference and Mistrial in NestJS

  Log in to your Huggingface account at https://huggingface.co. Click Access Token in the menu to generate a new token. - Source: dev.to / 23 days ago

Amazon AWS mentions (381)

• Next.js Deployment: Vercel's Charm vs. GCP's Muscle

  Additionally, explore AWS, DigitalOcean, Azure, and IBM Cloud for more options. - Source: dev.to / about 18 hours ago

• Deploying a Static Website on AWS EC2 with Nginx: A Comprehensive Guide

  AWS (Amazon Web Services) is a comprehensive cloud computing platform provided by Amazon, offering a wide range of services including computing power, storage, and databases. It enables businesses and developers to access and use scalable and cost-effective cloud resources on-demand. - Source: dev.to / 2 days ago

• Deploying a static website with AWS EC2 using Nginx

  Amazon Web Services (AWS) is one of the most popular cloud computing platforms worldwide. It offers a comprehensive suite of services that enable developers and businesses to build, deploy, and scale applications with ease. - Source: dev.to / 3 days ago

• Log and trace management made easy. Quickwit Integration via Glasskube

  Before installing Quickwit, you'll need to create an object storage bucket to hold your Quickwit indexes. You can use use your choice of Cloud provider such as Scaleway, AWS S3 or MinIO. Refer to our official Quickwit documentation for storage configuration details. - Source: dev.to / 5 days ago

• How to Containerize Your Backend Applications Using Docker

  Having an AWS Account: Sign up for an AWS account at AWS if you don't already have one. This will be necessary for deploying your application to Amazon EC2. - Source: dev.to / 4 days ago