Strapi VS Amazon SageMaker

Strapi Reviews

Amazon SageMaker Reviews

Strapi mentions (310)

• How to Build an AI FAQ System with Strapi, LangChain & OpenAI

  Strapi provides a centralized data managing platform. This makes it easier to organize, update, and maintain the FAQ data. It also automatically generates a RESTful API for accessing the content stored in its database. - Source: dev.to / 22 days ago

• Ask HN: Best OSS SQL Query Builder in Any Language

  Https://prisma.io is popular as I understand it. I've been trying out https://strapi.io the last week and am thoroughly impressed. They both do much more than build queries. One big thing both do is automate database migration calculations. Strapi goes further and gives you a CMS and admin UI on top, as well as doing a lot more of the complex query building from a json object. Both still require a fundamental... - Source: Hacker News / about 1 month ago

• Different flavors of content management

  A headless one is responsible only for data management and providing an API for other applications to show this data. When talking about headless CMS, Strapi or Sanity comes to my mind first, but there are many more. - Source: dev.to / 9 months ago

• I need recommendations for creating an API. Start from scratch, or are there projects I can build from?

  I initially looked into CMS's like Strapi and Directus to possibly handle my admin UI + API all at once. I haven't found anything that looks like it can do this yet, but I'd be very happy to be proven wrong. I would prefer it to be based in .NET or Node.js since I am more familiar with those, but there's no reason I couldn't do PHP either. Source: 9 months ago

• Backend without coding?

  I would recommend using Headless CMS with no-to-low code techs like Strapi. With Strapi you can build backend using only the user interface. Therefore your API backend code changes by itself. My website is built with Strapi as backend and Nextjs as frontend. Source: 10 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 / 17 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 1 month 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: 11 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