WordPress Reviews

1. pat0rick

   8 months ago
   Old legend

   There are many new platforms for creating websites nowadays. But I still use WP and it works well. A lot of plugins and templates. Easy to find a developer to customise theme. No monthly fees. So, I like it.

Amazon SageMaker Reviews

WordPress mentions (764)

• Building a High-Performance Website with Next.js and WordPress

  Creating a high-performance website is essential in today’s digital age. Speed, efficiency, and a seamless user experience are the cornerstones of successful web development. This article explores how combining Next.js with WordPress can achieve these goals, providing a robust solution for developers looking to elevate their web projects. - Source: dev.to / 2 months ago

• Leveraging WordPress as a Headless CMS for Your Astro Website: A Comprehensive Guide

  WordPress as the backend headless CMS, offering a versatile content management foundation. - Source: dev.to / 3 months ago

• The Rise of Visual Editing in Headless CMSes

  Open source CMS WordPress and Drupal introduced WYSIWYG editors and template customization to empower independent publishing but page building was still largely code-driven. - Source: dev.to / 3 months ago

• Mastering Behat Testing: A Comprehensive Guide for Implementing BDD in PHP Projects

  While specific CMS platforms were not directly listed in the sources as explicitly supporting Behat, it’s widely known in the development community that Behat can be integrated with several PHP-based CMS platforms. Drupal and _WordPress _are notable examples of PHP CMSs that support Behat testing, thanks to their flexible architecture and the availability of various plugins or modules that facilitate integration... - Source: dev.to / 4 months ago

• How to secure a WordPress website in under 1 minute using a simple trick?

  WordPress is the most popular CMS(Content Management System) among bloggers. The same fact has made WordPress more vulnerable to attacks by hackers. Especially for authentication vulnerabilities such as brute-force attacks. - Source: dev.to / 5 months ago

Amazon SageMaker mentions (36)

• Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations

  Damn straight. Oh, wait, some vendors have claimed to build an end-to-end solution. But, meh, that’s marketing talk. Take, for example, a well-known platform like Amazon Sagemaker, which describes itself as “a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case.” It’s a great platform. My startup has even partnered with them.... - Source: dev.to / 30 days ago

• Sentiment Analysis with PubNub Functions and HuggingFace

  At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 2 months ago

• Beginning the Journey into ML, AI and GenAI on AWS

  Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 4 months ago

• Technical Architecture for LLMOps

  Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: 12 months ago

• Are AI fine-tuning tools worth learning and investing?

  And there have been several platforms that help fine-tune pretrained models, such as Google Cloud AutoML and Amazon Sagemaker. These tools are often fairly easy to use, but they come at a cost. They can be expensive, depending on the size of your dataset. Another option is Finetuner+, that also fine-tunes like AutoML and Sagemaker. The big advantage is that you don't need to transfer your data to other GPUs,... Source: about 1 year ago