Savee
Raindrop.io
AWS Snowball
Martechbase
Ethereum
My Mind
Zluri
Cubiloon
Papers with Code
ML5.js
arXiv
Spell
Lobe
ML Showcase
Apple Machine Learning Journal
Amazon Machine Learning
In today's business landscape, it's more important than ever for companies to scale rapidly and efficiently. However, this can be difficult when teams are siloed, and goals are disconnected. This leads to bloated technology footprints and unnecessary spending.
Savee is a VendorOS that helps businesses overcome these issues. It identifies vendor overlaps and potential compliance issues while uncovering cost savings and managing the approval and renewal processes. This helps savvy business leaders scale rapidly and efficiently.
To get started with Savee, simply visit the website and create an account. From there, you can browse the list of vendors and see how they can help your business save money.
Benefits of using Savee include: - Reduced spending on unnecessary technology products - Faster identification of vendor overlap and cost savings - Easier management of technology Vendor Relationships - Easier renewal management - Better visibility into company-wide spending on technology products
Savee
Papers with CodeBased on our record, Papers with Code seems to be a lot more popular than Savee. While we know about 100 links to Papers with Code, we've tracked only 2 mentions of Savee. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Tell me what you think, also poke at it.. I have a bug list I'm addressing but could use more insights. https://besavee.com. Source: almost 4 years ago
Tell me what you think. https://besavee.com. Source: almost 4 years ago
Benchmark Primary focus Evaluation metrics System coverage Usability Link HumaneBench AI benchmark Human well being, humane AI principles HumaneScore, flip tests under adversarial instruction, long term well being 15 popular chat models tested across 800 realistic scenarios Designed for chatbot safety research; requires ensemble judging for... - Source: dev.to / 9 months ago
An helpful approach is to browse the state of the art models in paperswithcode. This will give you an idea of the performance of different models on various tasks. - Source: dev.to / almost 2 years ago
I think a way around this would some sort of voting/ popularity system? Papers with code (https://paperswithcode.com/) does this via Github stars sorting. Sure it doesn't mean something is established. But it at least gives some way to filter through the firehose of papers. Love this project btw! I think it has potential (and the timing is right now that everyone is looking for the next "attention is all... - Source: Hacker News / almost 2 years ago
Adapting to Evolving Standards: With the rapid progress in deep learning research and applications, staying current with the latest developments is crucial. The checklist underscores the importance of considering established standard architectures and leveraging current state-of-the-art (SOTA) resources, like paperswithcode.com, to guide project decisions. This dynamic approach ensures that projects benefit from... - Source: dev.to / about 2 years ago
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / over 2 years ago
Raindrop.io - All your articles, photos, video & content from web & apps in one place.
ML5.js - Friendly machine learning for the web
AWS Snowball - AWS Snowball is a petabyte-scale data transport service that uses secure devices to transfer large amounts of data into and out of the AWS cloud.
arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.
Martechbase - A searchable database of 7,000+ marketing tools
Spell - Deep Learning and AI accessible to everyone