O'Reilly Media

MARCH 26, 2024

Researchers are finding more and more ways to extract training data from ChatGPT and other models. Let’s say I tear up a painting into a thousand pieces and put them back together in a mosaic: is the original painting stored in the mosaic? So, is the training data “stored” in the model? Well, no, not quite. But also… Yes?

AI 110

AI AI Machine Learning Machine Learning 110

databricks

JANUARY 30, 2024

Quantization is a technique for making machine learning models smaller and faster. We quantize Llama2-70B-Chat, producing an equivalent-quality model that generates 2.2x

Machine Learning 324

Machine Learning Machine Learning AI AI 324

databricks

DECEMBER 21, 2023

Over the past six months, we've been working with NVIDIA to get the most out of their new TensorRT-LLM library. TensorRT-LLM provides an easy-to-use Python interface to integrate with a web server for fast, efficient inference performance with LLMs.

Python 294

Python AI AI 294

databricks

FEBRUARY 9, 2024

Pretrained large language models aren’t particularly good at responding in concise, coherent sentences out of the box. At a minimum, they have to b.

AI 226

AI AI 226

databricks

FEBRUARY 27, 2024

In this blog post, we discuss Fine-Grained RLHF, a framework that enables training and learning from reward functions that are fine-grained in two.

AI 212

AI AI 212

Dataconomy

JANUARY 23, 2024

Collaboratively exposed by Cybernews and cybersecurity researcher Bob Dyachenko, Mother of All Breaches (MOAB) emerges as an unparalleled titan, standing tall as one of the most extensive breaches in history, laying bare a colossal 26 billion records or a mind-bending 13 terabytes of data. Brazil, Germany, the Philippines, Turkey, and more.

Database 218

Database 218

Heartbeat

AUGUST 10, 2023

And with open-source becoming the norm, most AI models are available for public use for research and experimentation. And being open-source, users can fine-tune the model through the Hugging Face Transformers library and expand its applications in various fields, such as education, eCommerce, research, etc.

AI 52

AI AI ML ML 52

Data Science Dojo

JULY 26, 2023

It is also able to learn from and adapt to new information, making it a powerful tool for research and development. Applications of GPT-4 Research: GPT-4 is a valuable tool for research in areas such as artificial intelligence, natural language processing, and machine learning. Like many language models, GPT-3.5

Natural Language Processing 195

Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 195

DrivenData Labs

APRIL 10, 2024

Image augmentations : The winners applied various augmentations to the training images, such as flips, rotations, cutmixes, and mosaics, which are commonly used techniques in computer vision tasks. Augmentations, such as rotations, flips, mosaic, and cutmix, are applied during training.

Deep Learning 130

Deep Learning Deep Learning Machine Learning Machine Learning 130

Hacker News

JULY 17, 2023

And so, for example, even though nested patterns have always existed in nature, and were even explicitly created by mosaic artisans in the early 1200s , they seem to have never been systematically noticed or discussed at all until the latter part of the 20th century, when finally the framework of “fractals” was developed for talking about them.

AI 123

AI AI Artificial Intelligence Artificial Intelligence 123

Flipboard

NOVEMBER 22, 2023

94-171) Noisy Measurement File (NMF) from United States Census Bureau 2010 Census Production Settings Demographic and Housing Characteristics (DHC) Demonstration Noisy Measurement File from United States Census Bureau 2010 Census Production Settings Redistricting Data (P.L.

AWS 84

AWS Machine Learning Machine Learning ML 84

PyImageSearch

MAY 1, 2023

The progress in this domain has been significant; every year, the research community achieves a new state-of-the-art benchmark. 2016) published the YOLO research community gem, “ You Only Look Once: Unified, Real-Time Object Detection, ” at the CVPR (Computer Vision and Pattern Recognition) Conference. Python-3.9.16 torch-1.13.1+cu116

Deep Learning 107

Deep Learning Deep Learning Python Algorithm 107