Dataconomy

APRIL 18, 2023

Undetectable backdoors can be implemented in any ML algorithm Machine learning Machine learning is a subfield of artificial intelligence that focuses on the development of algorithms and models that can learn from data and make predictions or decisions.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 113

How to Learn Machine Learning

OCTOBER 10, 2024

The quality of your training data in Machine Learning (ML) can make or break your entire project. Microsoft’s Tay Chatbot Misfire Microsoft launched an AI chatbot called Tay on Twitter in 2016. The bot was designed to engage in casual conversations and learn from its interactions with users.

Machine Learning 52

Machine Learning Machine Learning Data Quality Algorithm 52

Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning? Self-supervised learning is a kind of machine learning that creates labels directly from the input data. Find out in the guide below.

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

Google Research AI blog

JANUARY 18, 2023

Language Models Computer Vision Multimodal Models Generative Models Responsible AI* Algorithms ML & Computer Systems Robotics Health General Science & Quantum Community Engagement * Other articles in the series will be linked as they are released. language models, image classification models, or speech recognition models).

ML 132

ML ML AI AI 132

Snorkel AI

FEBRUARY 17, 2023

I share this because it shows where things were in 2016; it was exciting to find one label error. At the time, back in 2016, the MNIST dataset had been cited 30,000 times. How do you train machine learning algorithms generally for any data set? Then we generalized that for the entire field of supervised learning.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

FEBRUARY 17, 2023

I share this because it shows where things were in 2016; it was exciting to find one label error. At the time, back in 2016, the MNIST dataset had been cited 30,000 times. How do you train machine learning algorithms generally for any data set? Then we generalized that for the entire field of supervised learning.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Mlearning.ai

SEPTEMBER 4, 2023

International Conference on Learning Representations. [20] 20] Once you have your instruction data, you split it into training, validation, and test sets, like in standard supervised learning. Orca: Progressive Learning from Complex Explanation Traces of GPT-4" [link] [31] Pranav Rajpurka et al. 32] Alex Wang, et al.

AI 52

AI AI Azure Machine Learning 52