Based on our record, Atom should be more popular than Amazon SageMaker. It has been mentiond 152 times since March 2021. 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.
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 / 4 days 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 / 26 days 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 / 3 months ago
Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: 11 months ago
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
Before we dive into writing JavaScript code, let's ensure we have the right setup. We'll need a text editor and a web browser. Popular choices include Visual Studio Code, Sublime Text, or Atom. Pick your favourite editor, install it, and make sure you have a reliable web browser like Chrome, Firefox, or Safari at your fingertips. - Source: dev.to / 12 months ago
Now that microsoft has sunset atom.io on github VS Code will drop in usage and numbers worldwide. Source: about 1 year ago
A text editor: You'll need a text editor to write your code. Some popular options include Visual Studio Code (https://code.visualstudio.com/), Neovim (https://neovim.io/), and Sublime Text (https://www.sublimetext.com/). - Source: dev.to / about 1 year ago
This is something all popular Integrated Development Environments have, VS Code, JetBrains IDE's, Atom, Sublime so you can definitely try it out. - Source: dev.to / about 2 years ago
I like http://atom.io but use it for python, js, css, svelte, sql, .git files pretty solid for what I need. Source: over 1 year 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.
Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft
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.
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
Azure Machine Learning Studio - Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
Vim - Highly configurable text editor built to enable efficient text editing