Data Science Dojo

MAY 27, 2024

A visual representation of discriminative AI – Source: Analytics Vidhya Discriminative modeling, often linked with supervised learning, works on categorizing existing data. Generative AI often operates in unsupervised or semi-supervised learning settings, generating new data points based on patterns learned from existing data.

K-nearest Neighbors 338

K-nearest Neighbors Supervised Learning AI AI 338

Flipboard

MARCH 13, 2023

Yes, large language models (LLMs) hallucinate , a concept popularized by Google AI researchers in 2018. Hallucinations May Be Inherent to Large Language Models But Yann LeCun , a pioneer in deep learning and the self-supervised learning used in large language models, believes there is a more fundamental flaw that leads to hallucinations.

Deep Learning 172

Deep Learning Deep Learning Supervised Learning AI 172

Data Science Blog

MARCH 14, 2023

Dann etwa im Jahr 2018 flachte der Hype um Big Data wieder ab, die Euphorie änderte sich in eine Ernüchterung, zumindest für den deutschen Mittelstand. GPT-3 ist jedoch noch komplizierter, basiert nicht nur auf Supervised Deep Learning , sondern auch auf Reinforcement Learning. ChatGPT basiert auf GPT-3.5

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Towards AI

JULY 23, 2023

Year and work published Generative Pre-trained Transformer (GPT) In 2018, OpenAI introduced GPT, which has shown, with the implementation of pre-training, transfer learning, and proper fine-tuning, transformers can achieve state-of-the-art performance. But, the question is, how did all these concepts come together?

Natural Language Processing 98

Natural Language Processing Supervised Learning Deep Learning Deep Learning 98

Dataconomy

OCTOBER 5, 2023

AI practitioners choose an appropriate machine learning model or algorithm that aligns with the problem at hand. Common choices include neural networks (used in deep learning), decision trees, support vector machines, and more. The next critical step is model selection.

AI 137

AI AI Artificial Intelligence Artificial Intelligence 137

ODSC - Open Data Science

MARCH 22, 2023

Previously, he was a senior scientist at Amazon Web Services developing AutoML and Deep Learning algorithms that now power ML applications at hundreds of companies. About the author/ODSC East 2023 speaker: Jonas Mueller is Chief Scientist and Co-Founder at Cleanlab, a company providing data-centric AI software to improve ML datasets.

ML 88

ML ML Data Scientist AI 88

DrivenData Labs

FEBRUARY 3, 2025

I love participating in various competitions involving deep learning, especially tasks involving natural language processing or LLMs. I generated unlabeled data for semi-supervised learning with Deberta-v3, then the Deberta-v3-large model was used to predict soft labels for the unlabeled data. Alejandro A.

Machine Learning 130

Machine Learning Machine Learning Data Science Natural Language Processing 130