AWS Machine Learning Blog

OCTOBER 24, 2024

Large language models (LLMs) are very large deep-learning models that are pre-trained on vast amounts of data. Learn more in Amazon OpenSearch Service’s vector database capabilities explained. LLMs are incredibly flexible. It requires IAM permission for OpenSearch Service Serverless.

LLM 118

LLM Big Data Architect Software Development Big Data 118

AWS Machine Learning Blog

OCTOBER 11, 2024

Generative AI solutions often use Retrieval Augmented Generation (RAG) architectures, which augment external knowledge sources for improving content quality, context understanding, creativity, domain-adaptability, personalization, transparency, and explainability.

Metadata 102

Metadata Generative AI LLM Data Ingestion 102

Pickl AI

JULY 24, 2024

The advent of big data, coupled with advancements in Machine Learning and deep learning, has transformed the landscape of AI. Techniques such as neural networks, particularly deep learning, have enabled significant breakthroughs in image and speech recognition, natural language processing, and autonomous systems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing Neural Network 52

NVIDIA

JUNE 5, 2023

That’s an order of magnitude more than it generated in 2012 when two of its experiments uncovered the Higgs boson, a subatomic particle that validated scientists’ understanding of the universe. In their presentations, physicists explained the challenges ahead. “By Industry participation was strong and enthusiastic about the technology.

AI 98

AI AI Machine Learning Explainability 98

Topbots

JANUARY 11, 2023

Now my resolve about no new school of epistemology is weakening and this new article explains why. Neural Networks and Deep Learning algorithms, combined with synthetic data, are near to the current frontier in artificial intelligence (AI). Professor Hannah Fry explains this point well.

Generative AI 40

Generative AI Explainability Deep Learning Neural Network 40

Marktechpost

JULY 17, 2023

What Relationship Exists Between Predictive Analytics, Deep Learning, and Artificial Intelligence? For machine learning to identify common patterns, large datasets must be processed. Deep learning is a branch of machine learning frequently used with text, audio, visual, or photographic data.

Data Mining 98

Data Mining Machine Learning Data Scientist Artificial Intelligence 98

Heartbeat

DECEMBER 8, 2023

He focused on generative AI trained on large language models, The strength of the deep learning era of artificial intelligence has lead to something of a renaissance in corporate R&D in information technology, according to Yann LeCun, chief AI. Hinton is viewed as a leading figure in the deep learning community.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning LLM 52

Heartbeat

OCTOBER 9, 2023

Artificial Intelligence (AI) Integration: AI techniques, including machine learning and deep learning, will be combined with computer vision to improve the protection and understanding of cultural assets. Barceló and Maurizio Forte edited "Virtual Reality in Archaeology" (2012). Brutto, M. L., & Meli, P.

Computer Vision 52

Computer Vision Algorithm Deep Learning Machine Learning 52

Heartbeat

AUGUST 21, 2023

AlexNet is a more profound and complex CNN architecture developed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton in 2012. AlexNet significantly improved performance over previous approaches and helped popularize deep learning and CNNs. It has eight layers, five of which are convolutional and three fully linked.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Natural Language Processing Deep Learning 52

AWS Machine Learning Blog

NOVEMBER 15, 2024

of persons present’ for the sustainability committee meeting held on 5th April, 2012? He focuses on developing scalable machine learning algorithms. His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering.

Auto-complete 108

Auto-complete ML Python AI Modeling 108

deepsense.ai

MAY 7, 2023

We talked about diffusion in deep learning, models that utilize it to generate images, and several ways of fine-tuning it to customize your generative model. We also explained the building blocks of Stable Diffusion and highlighted why its release last year was such a groundbreaking achievement. But don’t worry!

Neural Network 52

Neural Network Convolutional Neural Networks Explainability Deep Learning 52

Viso.ai

JANUARY 2, 2024

In 2012, the AlexNet architecture, designed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton , marked a breakthrough in the ImageNet challenge by significantly reducing error rates. Making CNN models more interpretable and explainable. Addressing biases to ensure fairness in model training.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

Explosion

SEPTEMBER 3, 2015

This post explains the problem, why it’s so damaging, and why I wrote spaCy to do things differently. The new, awesome deep-learning model is there, but so are lots of others. Another researcher’s offer from 2012 to implement this type of model also went unanswered. The story in nltk.tag is similar.

Natural Language Processing 40

Natural Language Processing NLP Python Deep Learning 40

TheSequence

NOVEMBER 22, 2023

In the past, I’ve spent a lot of time working on more efficient silicon architectures, particularly dataflow architectures, and advanced numerical quantization approaches for deep learning. One is a more formal view of explainability.

Neural Network 40

Neural Network Generative AI AI AI 40

Heartbeat

DECEMBER 14, 2023

LeCun received the 2018 Turing Award (often referred to as the "Nobel Prize of Computing"), together with Yoshua Bengio and Geoffrey Hinton, for their work on deep learning. Hinton is viewed as a leading figure in the deep learning community. > Finished chain. ") > Entering new AgentExecutor chain.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Scientist 52

Mlearning.ai

FEBRUARY 10, 2023

Back in 2016 I was trying to explain to software engineers how to think about machine learning models from a software design perspective; I told them that they should think of a database. Both serve as a means of storing representations of historical data, which can later be queried. Thanks to Pedro Lapietra for co-editing.

Neural Network 52

Neural Network ChatGPT Big Data Software Engineer 52