Amazon SageMaker Reviews

Upvoty Reviews

1. Zoe Dillian

   | Product at Fastned | over 2 years ago
   Switched to Upvoty

   Easily migrated from another tool, our team and users are loving Upvoty thus far, now 5 months in.

   🏁 Competitors: Canny, Nolt, hellonext.co

   👍 Pros:    Easy to use|Usability|User-friendly|Great customer support|Fast support|Easy to setup|Easy implementation

   👎 Cons:    Mobile app
2. Bobby

   | owner at Bobstores | over 4 years ago
   Nice tool, quick response

   We use upvoty for a few months now, every month they add some new cool features. They listen to their customers very carfully. They should be, otherwise their tool does not work :-D

3. Robin van Delft

   | Founder at van Delft HQ | over 4 years ago
   Collecting customer feedbacks never been easier.

   I have been waiting a long time for a beautiful and easy to use feedback tool - Upvoty is it. Upvoty also nails all the little things.

   This tool really helps our customers provide feedback and priorities to our Product, and Development teams. We were able to implement this directly into our app which creates a seamless experience for our users.

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 / 13 days 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 / about 1 month 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 / 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 / 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

Upvoty mentions (1)

• $20,000 MRR bootstrapped - Here's how we did it

  💬 User feedback: From the very start, we listened really carefully to the feedback of our users (of course by using our own product - upvoty.com). This resulted in us building a product that was valuable and people actually wanted to pay for it. Source: over 2 years ago