Canny might be a bit more popular than Amazon SageMaker. We know about 41 links to it since March 2021 and only 37 links to Amazon SageMaker. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is a slightly different feature set, but being more customer feedback centric rather than OKR centric might be worth considering: https://canny.io/. Source: 6 months ago
Solutions like canny.io makes >$2M in ARR. My aim is to create product combining some features from canny and wiredash. Source: 6 months ago
Researched the market and found https://wiredash.io/ - which is great tool, but it costs so much. 99 usd monhtly is.... 5 hours of work in Poland, where I live. Also I want to share project roadmap with my users inside it. Something like https://canny.io/ integrated into app. Source: 6 months ago
Canny | Software Engineer | REMOTE | Full-time | https://canny.io Canny helps software companies keep track of feature requests to build better products. * Early-stage startup, 17 person team, $3m+ annual recurring revenue * 100% remote, distributed across US, Canada, Spain, Turkey * Bootstrapped and profitable https://careers.canny.io/?utm_source=hn Why work at Canny: https://canny.io/blog/work-at-canny/. - Source: Hacker News / 7 months ago
Please don't ask me to raise this on canny.io, this is not a feature request. I just want to know you either already know about it, or you will take this info and create your own task to sort it out. Neither should you ask me for screen images as this is a obvious issue found after a few minutes of playing with the functionality. Source: 8 months ago
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 / 4 days ago
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
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
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
Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: 12 months ago
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