Data Science Dojo

DECEMBER 8, 2023

In the dynamic field of artificial intelligence, traditional machine learning, reliant on extensive labeled datasets, has given way to transformative learning paradigms. Source: Photo by Hal Gatewood on Unsplash In this exploration, we navigate from the basics of supervised learning to the forefront of adaptive models.

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Supervised Learning Machine Learning Machine Learning Artificial Intelligence 447

Data Science Dojo

DECEMBER 8, 2023

Counting Shots, Making Strides: Zero, One and Few-Shot Learning Unleashed In the dynamic field of artificial intelligence, traditional machine learning, reliant on extensive labeled datasets, has given way to transformative learning paradigms. Welcome to the frontier of machine learning innovation!

Supervised Learning 195

Supervised Learning Machine Learning Machine Learning Artificial Intelligence 195

Snorkel AI

MARCH 1, 2023

Foundation Models (FMs), such as GPT-3 and Stable Diffusion, mark the beginning of a new era in machine learning and artificial intelligence. Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning?

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 68

Data Science Machine Learning Machine Learning ML 68

Chatbots Life

MAY 12, 2023

Such models can also learn from a set of few examples The process of presenting a few examples is also called In-Context Learning , and it has been demonstrated that the process behaves similarly to supervised learning. In this model, the authors used explicit unified prompts such as “summarize:” to train the model.

AI 90

AI AI ML ML 90

Google Research AI blog

JANUARY 18, 2023

One of the broad key challenges in artificial intelligence is to build systems that can perform multi-step reasoning, learning to break down complex problems into smaller tasks and combining solutions to those to address the larger problem. Goodfellow, et al. Middle: From M. Lucic, et al. Right: From Imagen.

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ML ML AI AI 132

Data Science Blog

MARCH 14, 2023

Von Data Science spricht auf Konferenzen heute kaum noch jemand und wurde hype-technisch komplett durch Machine Learning bzw. Artificial Intelligence (AI) ersetzt. Die vollautomatisierte Analyse von textlicher Sprache, von Fotos oder Videomaterial war 2015 noch Nische, gehört heute jedoch zum Alltag hinzu.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147