Respondent Reviews

Amazon SageMaker Reviews

Respondent mentions (23)

• Alternatives to UserTesting

  Respondent.io is great as well. Lots and lots of studies every day posted, these can pay very well depending on your specialty. Source: 7 months ago

• Online Research Project for Hardware Store Workers - $80 Incentive (DE, 18+)

  Hi! No, this is a legitimate project. You can visit our website respondent.io to know more about the company. Thank you! Source: about 1 year ago

• I need local playtesters for tabletop games [DFW]

  If you have a bit more budget, you can also recruit participants from online panels (like userinterviews.com or respondent.io). For an incentive, you can screen the right people to participate in your playtest. Keep in mind you will need to do some vetting and make sure you're not getting "professional" participants. Source: over 1 year ago

• B2b user testing

  If you're having difficulty recruiting yourself, I've used respondent.io in the past. Keep in mind recruiting hard to access types of users is often expensive and/or time consuming. Source: over 1 year ago

• I am terrified to even start budgeting because if I don't neglect my bills, I can't afford food. or alcohol. and that's scary too. I'm so terrified. of being hungry, of being properly broke... I need fucking help, but I can't afford it

  Figure out how you can make more income. Maybe you create an account on upwork or fiverrr (platform for freelancers) and help a company out with social media, or reviewing resumes. Maybe you try driving for doordash or ubereats. Maybe you sign up for respondent.io and get paid to do research interviews (we hire people from here all the time). I promise making a little bit of extra cash goes a long way to feeling... Source: over 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