Hacker News

NOVEMBER 15, 2023

That’s when researchers in information retrieval prototyped what they called question-answering systems, apps that use natural language processing ( NLP ) to access text, initially in narrow topics such as baseball. IBM’s Watson became a TV celebrity in 2011 when it handily beat two human champions on the Jeopardy!

Database 181

Database AI AI Natural Language Processing 181

Hacker News

MARCH 25, 2022

Attention Net didn’t sound very exciting,” said Vaswani, who started working with neural nets in 2011.Jakob For example, researchers from the Rostlab at the Technical University of Munich, which helped pioneer work at the intersection of AI and biology, used natural-language processing to understand proteins.

Machine Learning 182

Machine Learning Machine Learning AI AI 182

AWS Machine Learning Blog

DECEMBER 14, 2023

Established in 2011, Talent.com aggregates paid job listings from their clients and public job listings, and has created a unified, easily searchable platform. Our pipeline belongs to the general ETL (extract, transform, and load) process family that combines data from multiple sources into a large, central repository.

ETL 100

ETL AWS ML ML 100

AWS Machine Learning Blog

OCTOBER 23, 2023

Founded in 2011, Talent.com is one of the world’s largest sources of employment. With over 30 million jobs listed in more than 75 countries, Talent.com serves jobs across many languages, industries, and distribution channels.

AWS 109

AWS Deep Learning Deep Learning Machine Learning 109

Dataconomy

NOVEMBER 29, 2023

That simplicity is its biggest selling point – beginners can get well-written paraphrased articles by simply copying and pasting existing copy into the tool. Fast bulk content generation is its major selling point, with the tool being capable of spinning one article into 500 unique pieces in less than a minute.

AI 103

AI AI Natural Language Processing Artificial Intelligence 103

AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). They’re mostly trained on general domain corpora, making them less effective on domain-specific tasks.

Algorithm 84

Algorithm Machine Learning Machine Learning Natural Language Processing 84

Flipboard

APRIL 8, 2023

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) has assembled a year’s worth of AI data providing a comprehensive picture of today’s AI world, as they have done annually for six years. For those of you as eager to pour through the entire 2023 Artificial Intelligence Index Report as I was, you can dive in here.

AI 182

AI AI Machine Learning Machine Learning 182

AWS Machine Learning Blog

JULY 20, 2023

Artificial intelligence (AI) has become an important and popular topic in the technology community. As AI has evolved, we have seen different types of machine learning (ML) models emerge. One approach, known as ensemble modeling , has been rapidly gaining traction among data scientists and practitioners. References [1] Raj Kumar, P.

ML 88

ML ML Cross Validation AWS 88

ML Review

MAY 3, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Thanks for reading! Online] arXiv: 1710.01288.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52