Towards AI

FEBRUARY 13, 2024

Louis-François Bouchard in What is Artificial Intelligence Introduction to self-supervised learning·4 min read·May 27, 2020 80 … Read the full blog for free on Medium. Author(s): Louis-François Bouchard Originally published on Towards AI. Join thousands of data leaders on the AI newsletter.

Supervised Learning 86

Supervised Learning Artificial Intelligence Artificial Intelligence AI 86

Data Science Dojo

MAY 27, 2024

In this blog, we will explore the details of both approaches and navigate through their differences. A visual representation of discriminative AI – Source: Analytics Vidhya Discriminative modeling, often linked with supervised learning, works on categorizing existing data. What is Generative AI?

K-nearest Neighbors 195

K-nearest Neighbors AI AI Supervised Learning 195

IBM Journey to AI blog

DECEMBER 1, 2023

Foundation models are pre-trained on unlabeled datasets and leverage self-supervised learning using neural network s. Foundation models are becoming an essential ingredient of new AI-based workflows, and IBM Watson® products have been using foundation models since 2020. Sign up for a free trial to put watsonx.ai

Supervised Learning 100

Supervised Learning AI AI Artificial Intelligence 100

Data Science Blog

MARCH 14, 2023

GPT-3 wurde mit mehr als 100 Milliarden Wörter trainiert, das parametrisierte Machine Learning Modell selbst wiegt 800 GB (quasi nur die Neuronen!) Neben Supervised Learning kam auch Reinforcement Learning zum Einsatz. Oktober 2014 ↑ Bussler, Frederik (July 21, 2020). Retrieved August 1, 2020.

Big Data 147

Big Data Big Data Apache Hadoop Hadoop 147

BAIR

APRIL 20, 2022

A demonstration of the RvS policy we learn with just supervised learning and a depth-two MLP. It uses no TD learning, advantage reweighting, or Transformers! Offline reinforcement learning (RL) is conventionally approached using value-based methods based on temporal difference (TD) learning.

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AssemblyAI

AUGUST 22, 2023

Using such data to train a model is called “supervised learning” On the other hand, pretraining requires no such human-labeled data. This process is called “self-supervised learning”, and is identical to supervised learning except for the fact that humans don’t have to create the labels.

Supervised Learning 97

Supervised Learning AI AI Machine Learning 97

Explosion

MAY 17, 2023

Once you’re past prototyping and want to deliver the best system you can, supervised learning will often give you better efficiency, accuracy and reliability than in-context learning for non-generative tasks — tasks where there is a specific right answer that you want the model to find. That’s not a path to improvement.

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