Based on our record, Amazon SageMaker seems to be a lot more popular than Monero. While we know about 37 links to Amazon SageMaker, we've tracked only 3 mentions of Monero. 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.
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
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
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
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 / 6 months ago
Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: about 1 year ago
A concrete show case: https://coinmarketcap.com/currencies/monero/ ("sort by volume"). Or see it here: https://i.imgur.com/XWe1SJ1.png. Source: 7 months ago
A crypto coin is simply a digital coin, created for making payments. Coins are created to act like money: in other words, they represent a unit of account, store of value, and medium of transfer. Crypto coins tend to take the form of their native blockchain, like with Bitcoin (BTC), Bitcoin Cash (BCH), Litecoin (LTC) and Monero (XMR). Source: about 1 year ago
I also recommend https://web.getmonero.org/ as well as https://xmrig.com/ regarding step by step configuration. Source: over 1 year ago
Why is monero's 24 hour trading volume down 35.17% today? https://coinmarketcap.com/currencies/monero/. Source: almost 2 years ago
Monero has a market cap just shy of $3 billion as of this writing, that seems a bit more than "niche" to me. Source: almost 2 years ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Litecoin - Litecoin is a peer-to-peer Internet currency that enables instant payments to anyone in the world.
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
Bitcoin - Bitcoin is an innovative payment network and a new kind of money.
Deepnote - A collaboration platform for data scientists
Ethereum - Ethereum is a decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.