GeneratePress Reviews

1. Rohit Singh

   | Blogger at Blogger Cage | almost 4 years ago
   One of the best theme I have ever used

   I'm using GeneratePress along with Thrive Architect, the theme is perfectly functional for me. It's perfectly compatible. It integrates well with Thrive Architect better than the FocusBlog theme I was previously using.

   🏁 Competitors: Thrive Themes

   👍 Pros:    Free to use|Super fast|Easy to use|Lightweight

Amazon SageMaker Reviews

GeneratePress mentions (14)

• How To Create Ghost Businesses

  Theme Recommendation: https://generatepress.com/. Source: 12 months ago

• Classic Themes with Block Patterns in WordPress

  The most obvious option would be the latest official standard themes, like Twenty Twenty-Three. But the latest official WordPress themes support full-site editing and the new theme engine, providing a lot of end-user options that might get in our way. As an alternative, the popular GeneratePress aims to be a lightweight foundation for theme development, and its optional extension are shipped seperately, like the... - Source: dev.to / about 1 year ago

• One Page Website

  It's causing A LOT of problems. Check out GeneratePress theme. It's a good one for beginners and they have great documentation and a wonderfully helpful forum. The premium plugin extends it even further and provides a site Library of themes built from it. Definitely a nice head start. Source: about 1 year ago

• Which WordPress theme would be best? My focus is on user experience, design, and load speed.

  GeneratePress - The perfect foundation for your WordPress website. https://generatepress.com/. Source: about 1 year ago

• Can't install free themes

  Or you can go to their site to download it. https://generatepress.com/. Source: about 1 year ago

Amazon SageMaker mentions (37)

• Quantum Convolutional Neural Networks

  Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. - Source: dev.to / about 1 month ago

• 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 / 2 months 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 / 3 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 / 5 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: about 1 year ago