Geocode Earth VS Amazon SageMaker

Geocode Earth Reviews

Amazon SageMaker Reviews

Geocode Earth mentions (5)

• Serverless maps at 1/700 the cost of Google Maps API

  As the developer of this system, I concur with this; Protomaps is focused on map tiles, and can be used with other solutions such as http://geocode.earth for search. A small detail: I don't believe this is the absolute cheapest way to deliver map tiles. Renting an unmetered bandwidth server is always going to be the cheapest way to host content, but unmanaged servers don't give you SSL termination, infinite... - Source: Hacker News / about 1 year ago

• Is there a free version / alternative of google places api?

  The honest truth is that google places is simply the best in the world, and the 2nd place is far behind. that's probably foursquare. After that, mapbox, then mapquest, then https://geocode.earth/. All of those are paid. Source: almost 2 years ago

• Mantle – Serverless Maps Using Lambda or Cloudflare Workers

  The stack I describe in the post is only for map tiles - Map tiles are a good fit for CDNs because the input space is small (just Z/X/Y coordinates on a square grid) and thus very cacheable. Geocoding is a very different problem because the input space - human language - is much, much larger, and answering queries quickly to support features like autocomplete really requires a server with hot data in memory. One... - Source: Hacker News / about 2 years ago

• Positionstack (by APILayer) Geocoding-API down for over 14 days, with no ETA

  If anyone comes across this looking for an alternative, we can help at Geocode Earth (https://geocode.earth). We're a small independent company that has been working on geocoding since 2013, first as part of Mapzen(https://mapzen.com), and then with our own self-funded business after Mapzen shut down at the start of 2018. Our core software, the Pelias Geocoder (https://pelias.io) is open source, and ironically we... - Source: Hacker News / about 2 years ago

• Should you contribute open data to OpenStreetMap for free?

  Here is why you should contribute to OSM even though there are major players profiting from it: OSM is big enough and good enough that all the tech giants (except Google) would do better to start with OSM and improve it to meet their needs than to start a new, completely proprietary map from scratch. That means that we are in an amazing place where in addition to the substantial volunteer OSM community, there are... - Source: Hacker News / over 2 years 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 / 9 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 / about 1 month 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