Hacker News

NOVEMBER 15, 2023

Patrick Lewis “We definitely would have put more thought into the name had we known our work would become so widespread,” Lewis said in an interview from Singapore, where he was sharing his ideas with a regional conference of database developers. “We Retrieval-augmented generation combines LLMs with embedding models and vector databases.

Database 181

Database AI AI Natural Language Processing 181

Flipboard

APRIL 8, 2023

This split has steadily grown since 2011, when the percentages were nearly equal. With use comes abuse Using data from the AI, Algorithmic, and Automation Incidents and Controversies ( AIAAIC) Repository , a publicly available database, the AI Index reported that the number of incidents concerning the misuses of AI is shooting up.

AI 182

AI AI Machine Learning Machine Learning 182

Hacker News

MARCH 25, 2022

By finding patterns between elements mathematically, transformers eliminate that need, making available the trillions of images and petabytes of text data on the web and in corporate databases. In addition, the math that transformers use lends itself to parallel processing, so these models can run fast.

Machine Learning 182

Machine Learning Machine Learning Database 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. path_suffix='.parquet',

ETL 104

ETL AWS ML ML 104

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). For each record in the knowledge database, we generate an embedding vector using the GPT-J embedding model.

Algorithm 91

Algorithm Machine Learning Machine Learning Natural Language Processing 91

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! 40] Chung et al. Hassanat, A.B.A.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52