Element.io Reviews

Amazon SageMaker Reviews

Element.io mentions (1)

• Twitter’s Encrypted DMs Are Deeply Inferior to Signal and WhatsApp. The social network's new privacy feature is technically flawed, opt-in, and limited in its functionality. All this for just $8 a month.

  I love how Matrix or its most popular client Element do not even get a mention. Source: about 1 year ago

• A new onboarding experience on Mastodon

  The title undersells the change a bit in my opinion. By default, mastodon now encourages new users to sign-up on https://mastodon.social which has caused a bit of a kerfuffle in the fediverse. Personally, I'm largely ambivalent to the change; I understand the reasoning, and it's what https://element.io has been doing for https://matrix.org since the beginning. It is more than a bit of a sea-change though given the... - Source: Hacker News / about 1 year ago

• Paying users get early access to the new change

  We currently have the Matrix protocol, with client applications such as Element supporting it. We also have XMPP as another option. Generally more modern than IRC, these platforms are primarily developed as FOSS software. This makes it less likely for developers to impact their users negatively. However, despite these advantages, these platforms lack the refined user experience (addictiveness and stickiness) that... Source: about 1 year ago

• [For Hire] Computer Programming Tutor or Teacher (C, C++, and others, details inside)

  Please DM me if you are interested in hiring me or have any questions at all. We will work via Element (https://element.io) voice/screen share calls, so please make sure you have a mic available. I look forward to hearing from you. Source: about 1 year ago

• Discord alternatives?

  Your best bet is probably matrix, the most user friendly client iirc is element. Source: about 1 year ago

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 / about 1 month 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 / 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 / 3 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 / 6 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