AI Briefing#machine-learning
The latest AI and developer news about #machine-learning, with the original source and a short summary.
The latest AI and developer news about #machine-learning, with the original source and a short summary.
We introduce Nyströmformer, which uses the Nyström method to reduce the complexity of Transformer's self-attention from $O(n^2)$ to $O(n)$.
New documentation and features for processing audio and image data have been added to the Hugging Face Datasets library.
The team productizes everything from user profiling to search and recommendation modules, breaking down role boundaries between analysts and engineers.
This article explains the mathematical principles of DDPM in detail and provides step-by-step implementation code using PyTorch.
A variety of Transformer models optimized for Graphcore IPUs have been added to the Hugging Face Optimum library.
Gradio has released version 3.0, which includes a frontend redesign and the Blocks API for custom layouts.
Hugging Face has raised a $100 million Series C round led by Lux Capital.
Kakao Pay introduces 'PayProfile,' a user profiling system that leverages vast amounts of data to analyze user behavior and provide personalized services.
It explains why Hugging Face adopted a 'single model file' policy instead of the DRY principle when designing the Transformers library.
Hugging Face has acquired Gradio, a tool for building machine learning demos.
An account of working as an intern on the Kakao Recommendation Team for 2 months, improving recommendation services and conducting R&D projects, leading to a transition to a full-time crew member
Hugging Face announced the release of Course Part 2 for in-depth NLP learning along with a community event.
A new inference solution was unveiled through the collaboration between Hugging Face and Amazon SageMaker, making it easy to deploy transformer models.
A team of high schoolers has launched **Kobra**, a block-based visual programming language that lets anyone learn machine learning without the complex syntax.
Kakao held an internal technical seminar covering three topics: cloud automation, ML service deployment, and Elasticsearch performance optimization.
Kakao held the second session of its internal technical seminar Techtalk, sharing experiences on TensorFlow serving optimization and large-scale data training.
Amnon Shashua named natural language understanding as AI's next frontier.
Hugging Face and Amazon have launched optimized deep learning containers for SageMaker through a strategic partnership.
The shift to online format resulted in a significant year-over-year increase, offering 78 tech sessions and 5 junior tracks.
Ray Tune has been integrated into the Hugging Face Transformers library, enabling advanced hyperparameter optimization.
The 3rd edition of the 'Music Recommendation Competition for Melon Users' hosted by Kakao has concluded, recording 1,143 participants, an 80% increase from the 1st edition.
The Recommendation Team under Kakao's Community Data Center introduced the development of recommendation algorithms for services such as Melon and KakaoTalk, as well as its organizational culture.
Banksalad's Data Foundation raised ML-based classification accuracy to 96% and spread company-wide OKR culture through the 'Planning Shop.'