Amazon SageMaker Reviews

Binder Reviews

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 / 21 days 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 / about 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 / 2 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

Binder mentions (35)

• RStudio: Integrated development environment (IDE) for R

  The closest Python equivalent to RStudio is the JupyterLab Desktop app[1,2], which I highly recommend. I've entirely switched to using it for teaching, and it is a godsend, since it works the same way across platforms (win/mac/linux), installs its own Python interpreter independent of any system Python the student might have, and even comes with NumPy/SciPy/Pandas/Seaborn/statsmodels already installed, which... - Source: Hacker News / 3 months ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Binder - Turn a Git repo into a collection of interactive notebooks. It is a free public service. - Source: dev.to / 4 months ago

• Best tools to teach python in a classroom

  I would use https://mybinder.org/ if you can't install anything. It's supported by NumFocus but otherwise runs on donations. You specify requirements in code and they build a docker image from your github repository. I think they should be able to download their notebook and submit it to you - it's been awhile since I used it. But I think they need to have a single person doing the typing. Source: 7 months ago

• Ask HN: Is anyone using Cloud Dev Environments (e.g. Codespaces/Replit) at work?

  You can use Binder https://mybinder.org . If the students have Gmail account, try Google Colab. Pretty easy to use. - Source: Hacker News / 8 months ago

• JupyterLab 4.0

  Do you have an example of how this works with another tool/language? I don't know if I understood it correctly but maybe you could: - Upload your notebook to Github, then create a url with Binder (part of the jupyter ecosystem) directly to an editing/fiddling playground: https://mybinder.org/ - If by user-local you mean on their own machine, they can clone your repo and run their own jupyterlab to fiddle - If... - Source: Hacker News / about 1 year ago