NeverBounce Reviews

Amazon SageMaker Reviews

NeverBounce mentions (11)

• Struggling with Email Deliverability? Here are 4 tools you can use.

  > NeverBounce: Provides you with email verification services to help your businesses maintain a clean and accurate email list. Source: about 1 year ago

• How I've gotten thousands of customers through cold outreach while only spending ~$50/month

  Make sure you are only emailing Verified emails. Sending to a bad list is a quick way to get marked as a spammer. You can also use NeverBounce or Bouncer to clean your list. Source: about 1 year ago

• Actually reliable email finding services?

  Scaled out, excellent for email validation is https://neverbounce.com. Source: about 1 year ago

• Domains and MX records?

  In terms of apps like neverbounce.com and similar - how do they work, at a technical level? Source: over 1 year ago

• It seems like there's no way a normal developer could get an inside view of an industry to build a SaaS product.

  For example https://neverbounce.com/ . (There are literally hundreds of these services and they make millions). Source: over 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 / 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