Snorkel AI

MAY 12, 2023

Piyush Puri: Please join me in welcoming to the stage our next speakers who are here to talk about data-centric AI at Capital One, the amazing team who may or may not have coined the term, “what’s in your wallet.” Great to have you all here and really excited for the discussion and I’ll leave it to you all.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Hacker News

FEBRUARY 24, 2024

The business goal is obvious: force firms back into the app store Apple taxes and out of the only ecosystem it can't — at least not directly. Apple's justifications range from unfalsifiable smokescreens to blatant lies, but to know it you have to have a background in browser engineering and the DMA's legalese.

181

181

Hacker News

DECEMBER 3, 2023

A decade ago to the day, I published a tweet launching what would surely become yet another pet project that scratched an itch, was kinda useful to a few people but other than that, would shortly fade away into the same obscurity as all the other ones I'd launched over the previous couple of decades: It's alive! "Have

AWS 181

AWS 181

Hacker News

DECEMBER 31, 2023

" The implication is clear: browsers unchained can do to mobile what the web did to desktop, where more than 70% of daily "jobs to be done" happen on the web. ." It has gone largely unreported that Progressive Web Apps (PWAs), have been held back by Apple and Google denying competing browsers access to essential APIs. [2]

172

172

Hacker News

FEBRUARY 19, 2023

The Back Story When you buy an API key on Have I Been Pwned (HIBP), Stripe handles all the payment magic. I love Stripe, it's such an awesome service that abstracts away so much pain and it's dead simple to integrate via their various APIs. Let's go find the rabbits! suboptimal: Dammit!

SQL 181

SQL 181

AssemblyAI

FEBRUARY 13, 2023

To do that effectively and efficiently, it makes sense for us to partner with experts in AI versus building something from the ground up – which can feel like a space race and act as a barrier to bringing valuable solutions to market in a timely manner," explains Johnson. The field of AI is exploding.

AI 52

AI AI 52

AssemblyAI

MARCH 13, 2023

However, significant recent advances in Artificial Intelligence (AI) have made the intelligent automation of this task possible. AI summarization models intelligently summarize text, audio, and video files into accurate, usable snippets. Some AI summarization models can also return timestamps for summarized audio and video files.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

JANUARY 12, 2024

Enterprises have access to massive amounts of data, much of which is difficult to discover because the data is unstructured. Conventional approaches to analyzing unstructured data use keyword or synonym matching. They don’t capture the full context of a document, making them less effective in dealing with unstructured data.

Natural Language Processing 107

Natural Language Processing AWS Data Science Database 107

AssemblyAI

JUNE 15, 2023

While it would be nice to have one metric that encompasses all aspects of the model, no such metric exists. This transcript can be used in its own right, or further processed for other purposes, like using Large Language Models to analyze the contents of the speech. Let’s explore how to design such an evaluation procedure now.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

ML @ CMU

JUNE 5, 2023

TL;DR: While large language models (LLMs) have been touted for their ability to generate natural-sounding text, there are concerns around potential negative effects of LLMs such as data memorization, bias, and inappropriate language. After this point in time, everything you do is trivial—the game is over, you win.

Machine Learning 154

Machine Learning Machine Learning 154

AWS Machine Learning Blog

MAY 9, 2023

Amazon SageMaker Serverless Inference allows you to serve model inference requests in real time without having to explicitly provision compute instances or configure scaling policies to handle traffic variations. You can let AWS handle the undifferentiated heavy lifting of managing the underlying infrastructure and save costs in the process.

AWS 65

AWS Machine Learning Machine Learning ML 65

AWS Machine Learning Blog

NOVEMBER 10, 2023

For example, the text “I love this product, it’s amazing!” would be classified by SageMaker Canvas as having a positive sentiment, whereas “This product is horrible, I regret buying it” would be labeled as negative sentiment. Today, ML has become more accessible to any user who wants to use ML models to generate business value.

Machine Learning 87

Machine Learning Machine Learning ML ML 87