Lever Reviews

Amazon SageMaker Reviews

Lever mentions (7)

• Am i applying to jobs wrong?

  In the US, even just looking at indeed and filtering out the scam ones there's tons of applications I can send out each day for companies I've never heard of before. Other than that try to find alternative job boards, handshake or even something like a google query like the following: site:http://lever.co/ | site:http://greenhouse.io/ | site:http://app.dover.io/ | site:http://jobs.ashbyhq.com/ (developer |... Source: 12 months ago

• Help looking for internships (2024)

  Awesome! Thanks for the advice. I'd never heard of greenhouse.io or lever.co but I'll def check them out. Source: about 1 year ago

• Can I add a fake street address?

  Correct, the field is marked as required and I can't progress if it's blank. I see this all the time on sites like lever.co . Source: about 1 year ago

• Appreciation for Lever

  God I love Lever so much. Whoever made Lever doesn't know just how much I appreciate them, fighting against those cursed portals like Workday, ICIMS, and Brassring to make the grueling application process so much more bearable just by being simple and friendly. Every time I see an internship application direct to a lever.co site, I have a small celebration in my brain. Thank you Lever. Source: about 1 year ago

• is there a job board that I can only see jobs posted by companies through lever.co? I don't have an interest in applying for companies that make you enter your education/work info manually.

  Basically the title. If I'm going to apply for google, microsoft, etc. I would totally go through the process and fill out the application form. But sometimes I just randomly want to pass my CV and see what sticks. In that case, I just want to limit myself to companies that only need a CV and have a one-click submission process like lever.co. 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 / 23 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 / 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