Visual Studio Code VS Amazon SageMaker

Visual Studio Code Reviews

1. dksinden    

   Working at SpeechKit | over 4 years ago

Amazon SageMaker Reviews

Visual Studio Code mentions (1009)

• 8 Essential VS Code Extensions [2024]

  Hey fellow amazing developers, we got you Essential VS Code Extensions for 2024 (these are especially important for web developers) recommended by our developers at evotik, we wont talk about ESlint nor Prettier which all of you already know. - Source: dev.to / 1 day ago

• scrape-yahoo-finance

  Visual Studio Code (VS Code): Developed by Microsoft, VS Code is a lightweight yet powerful IDE with extensive support for Python development through extensions. It offers features like IntelliSense, debugging, and built-in Git integration. - Source: dev.to / 5 days ago

• XDebug with WP-Setup

  In VSCode for example this can be easily done by adding the following .vscode/launch.json file:. - Source: dev.to / 6 days ago

• Employee Management System using Python.

  When working in Visual Studio Code (VS Code), always create a new Python file for your project. - Source: dev.to / 9 days ago

• A deep dive into progressive web apps (PWA)

  Code Editor: Choose a code editor like Visual Studio Code that offers good support for web technologies and extensions for PWA development. - Source: dev.to / 10 days ago

Amazon SageMaker mentions (36)

• 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 / 4 days 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 / 26 days 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 / 3 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: 11 months ago

• Are AI fine-tuning tools worth learning and investing?

  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