2019 AI Supervised Learning 
Analytics Vidhya
OCTOBER 19, 2022
Source: Canva Introduction In 2018, Google AI researchers came up with BERT, which revolutionized the NLP domain. Later in 2019, the researchers proposed the ALBERT (“A Lite BERT”) model for self-supervised learning of language representations, which shares the same architectural backbone as BERT.
KDnuggets
DECEMBER 16, 2019
It is an annual tradition for Xavier Amatriain to write a year-end retrospective of advances in AI/ML, and this year is no different. Gain an understanding of the important developments of the past year, as well as insights into what expect in 2020.
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AssemblyAI
AUGUST 22, 2023
In the interim, it was actually image models like DALL-E 2 and Stable Diffusion that instead took the limelight and gave the world a first look at the power of modern AI models. More recently, a new method called Reinforcement Learning from AI Feedback (RLAIF) sets a new precedent, both from performance and ethical perspectives.
Hacker News
MARCH 25, 2022
If you want to ride the next big wave in AI, grab a transformer. A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence. They’re driving a wave of advances in machine learning some have dubbed transformer AI.
Towards AI
JULY 23, 2023
Last Updated on July 25, 2023 by Editorial Team Author(s): Abhijit Roy Originally published on Towards AI. Semi-Supervised Sequence Learning As we all know, supervised learning has a drawback, as it requires a huge labeled dataset to train. But, the question is, how did all these concepts come together?
AWS Machine Learning Blog
SEPTEMBER 10, 2024
Improvements using foundation models Despite yielding promising results, PORPOISE and HEEC algorithms use backbone architectures trained using supervised learning (for example, ImageNet pre-trained ResNet50). He works hands-on with customers to design and build solutions for data analytics and AI applications in healthcare.
AWS Machine Learning Blog
NOVEMBER 27, 2023
Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. While this data holds valuable insights, its unstructured nature makes it difficult for AI algorithms to interpret and learn from it. read HTML).
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