Unite.AI

AUGUST 1, 2024

Duolingo Duolingo, launched in 2012, has revolutionized language learning by leveraging artificial intelligence and machine learning to deliver personalized experiences. This article explores some of the best AI language learning apps currently available, examining their unique features and benefits for learners at all levels.

Natural Language Processing 147

Natural Language Processing Artificial Intelligence Artificial Intelligence AI 147

Unite.AI

OCTOBER 5, 2023

While many AI books tend to generalize, you’ve taken the opposite approach of being very specific in teaching the meaning of various terminology, and even explaining the relationship between AI, machine learning , and deep learning. Why do you believe that there is so much societal confusion between these terms?

Neural Network 298

Neural Network Deep Learning Machine Learning AI 298

AWS Machine Learning Blog

NOVEMBER 9, 2023

Policy 3 – Attach AWSLambda_FullAccess , which is an AWS managed policy that grants full access to Lambda, Lambda console features, and other related AWS services.

Data Drift 125

Data Drift Auto-complete ML Automation 125

AWS Machine Learning Blog

OCTOBER 1, 2024

As we explained earlier, you need to attach policies to this role to allow interaction with Amazon Bedrock, Amazon Polly, and Amazon Transcribe. Use the least privilege principal to provide only the minimum set of permissions needed to run the application. You can view this on the Amazon Cognito console, along with a new user pool.

Chatbots 87

Chatbots Machine Learning LLM Generative AI 87

IBM Journey to AI blog

MARCH 29, 2024

GraphQL GraphQL is a query language and API runtime that Facebook developed internally in 2012 before it became open source in 2015. However, key differences exist between them that explain not only the proliferation of GraphQL but also why RESTful systems have such staying power.

Software Development 262

Software Development Explainability Automation AI 262

Mlearning.ai

JUNE 14, 2023

— YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1) Transformer Neural Networks — EXPLAINED! YouTube Transformer Models (cohere.com) Intro to BERT (early LLM example) BERT Neural Network — EXPLAINED! — YouTube YouTube BERT Research — Ep.

Neural Network 52

Neural Network BERT Large Language Models Natural Language Processing 52

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

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

IBM Journey to AI blog

JULY 19, 2023

IBM Consulting has been driving a responsible and ethical approach to AI for more than five years now, mainly focused on these five basic principles: Explainability : How an AI model arrives at a decision should be able to be understood, with human-in-the-loop systems adding more credibility and help mitigating compliance risks.

Generative AI 189

Generative AI Large Language Models AI AI 189

AWS Machine Learning Blog

JUNE 21, 2024

These can be added as inline policies in the user’s IAM role: { "Version": "2012-10-17", "Statement": [ { "Action": "s3:*", "Effect": "Deny", "Resource": [ "arn:aws:s3:::jumpstart-cache-prod- ", "arn:aws:s3:::jumpstart-cache-prod- /*" ], "Condition": { "StringNotLike": {"s3:prefix": ["*.ipynb",

Python 114

Python Machine Learning ML Software Engineer 114

Heartbeat

JULY 27, 2023

jpg': {'class': 132, 'label': 'Hyundai Tucson SUV 2012'}, '00235.jpg': jpg': {'class': 7, 'label': 'Acura ZDX Hatchback 2012'}, '00237.jpg': jpg': {'class': 65, 'label': 'Chevrolet Avalanche Crew Cab 2012'}, '00238.jpg':

Deep Learning 52

Deep Learning Metadata Python Explainability 52

AWS Machine Learning Blog

OCTOBER 24, 2024

Learn more in Amazon OpenSearch Service’s vector database capabilities explained. It requires IAM permission for OpenSearch Service Serverless. In this example, you will use Amazon OpenSearch Serverless for its simplicity and scalability to support a vector search at low latency and up to billions of vectors.

LLM 118

LLM Big Data Architect Software Development Big Data 118

Mlearning.ai

MARCH 9, 2023

2012; Otsu, 1979; Long et al., Methodology In this study, we used the publicly available PASCAL VOC 2012 dataset (Everingham et al., The MBD model was trained on the training set of the PASCAL VOC 2012 dataset, and the resulting model was used to segment the selected images from the validation set. References: Arbeláez, P.,

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

Topbots

JANUARY 11, 2023

Now my resolve about no new school of epistemology is weakening and this new article explains why. Quantum physics provides three valuable concepts to better understand reality: 1) the component nature of reality, 2) the combination of components in emergent ways, and 3) measurement replaces deterministic causality to explain phenomena.

Generative AI 40

Generative AI Explainability Deep Learning Neural Network 40

Pickl AI

APRIL 28, 2023

With more than 650% growth since 2012, Data Science has emerged as one of the most sought-after technologies. With the new developments in this domain, Data Science presents a picture of futuristic technology. At the same time, it has also emerged as one of the highest-paying job profiles.

Data Scientist 52

Data Scientist Data Science Big Data Data Analysis 52

Pickl AI

JULY 24, 2024

Continued research in areas such as explainable AI, reinforcement learning, and human-AI collaboration will shape the trajectory of AI in the coming years. 1940s-1950s: Foundations of AI 1943: Warren McCulloch and Walter Pitts design the first artificial neurons, laying the groundwork for neural networks.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing Neural Network 52

Flipboard

MARCH 7, 2023

The following sections explain each of four environment customization approaches in detail, provide hands-on examples, and recommend use cases for each option. Prerequisites To get started with the examples and try the customization approaches on your own, you need an active SageMaker domain and at least one user profile in the domain.

Python 123

Python Data Scientist Data Science Automation 123

AI Impacts

APRIL 7, 2023

Most of the systems we care about are considerably messier than the simple examples we use to explain chaos. Links to the other pages, blog posts, and report that constitute this investigation can be found below. Nate Silver. The Signal and the Noise. I will not go into it here.

Explainability 130

Explainability Algorithm AI AI 130

AWS Machine Learning Blog

NOVEMBER 15, 2024

of persons present’ for the sustainability committee meeting held on 5th April, 2012? 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. WASHINGTON, D. 20036 1128 SIXTEENTH ST., WASHINGTON, D.

Auto-complete 108

Auto-complete ML Python AI Modeling 108

The MLOps Blog

JANUARY 11, 2023

I break it down here and explain how things are plumbed, how it operates, and how an MLOps engineer can lead the development and deployment of a new process using and within it. Architectural design The environment architecture is shown in figure 1 as a whole with all its resources.

Machine Learning 52

Machine Learning Automation ML Python 52

Heartbeat

OCTOBER 9, 2023

Barceló and Maurizio Forte edited "Virtual Reality in Archaeology" (2012). Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. Brutto, M. L., & Meli, P.

Computer Vision 52

Computer Vision Algorithm Deep Learning Machine Learning 52

AWS Machine Learning Blog

JUNE 19, 2023

As explained in the solution overview, we listen to the AddMemberToGroup event. In this solution, we create a rule-based trigger: EventBridge listens to events and matches against the provided pattern and triggers a Lambda function if the pattern match is successful.

IDP 86

IDP ML Automation Machine Learning 86

Marktechpost

JULY 17, 2023

Using causal graphs, LIME, Shapley, and the decision tree surrogate approach, the organization also provides various features to make it easier to develop explainability into predictive analytics models. When necessary, the platform also enables numerous governance and explainability elements.

Data Mining 98

Data Mining Machine Learning Data Scientist Artificial Intelligence 98

deepsense.ai

MAY 7, 2023

We also explained the building blocks of Stable Diffusion and highlighted why its release last year was such a groundbreaking achievement. Source: [ 2 ] In the previous post, we explained the importance of Stable Diffusion [ 3 ]. In the previous one, we established a strong theoretical background for the rest of the series.

Neural Network 52

Neural Network Convolutional Neural Networks Explainability Deep Learning 52

AWS Machine Learning Blog

DECEMBER 14, 2023

The flexible and extensible interface of SageMaker Studio allows you to effortlessly configure and arrange ML workflows, and you can use the AI-powered inline coding companion to quickly author, debug, explain, and test code.

Generative AI 125

Generative AI AI Tools ML Auto-complete 125

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

Applied Data Science

MARCH 11, 2022

Back in 2012 things were quite different. This explain this statement at the NeurIPS 2017 Test-of-Time Award: It seems easier to train a bi-directional LSTM with attention than to compute the PCA of a large matrix. — Rahimi Each agent’s reward is related to the variance explained by its own eigenvector. This cat does not exist.

Neural Network 52

Neural Network Data Science AI AI 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. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Natural Language Processing Deep Learning 52

AWS Machine Learning Blog

MAY 17, 2023

In this post, aimed primarily at those who are already using Snowflake, we explain how you can import both training and validation data for a facies classification task from Snowflake into Amazon SageMaker Canvas and subsequently train the model using a 3+ category prediction model.

Data Scientist 92

Data Scientist Machine Learning ML Data Science 92

AI Impacts

APRIL 11, 2023

But this does not explain the lack of research, and one of the reasons given for opposition to experiments is that it has not been shown to be safe. Social preview image: German anti-nuclear power protesters in 2012. But the reason we lack evidence on safety is because research has been opposed, even at small scales.

AI 130

AI AI Explainability OpenAI 130

AWS Machine Learning Blog

APRIL 22, 2024

In this post, we introduce a solution to integrate HyperPod clusters with AWS Managed Microsoft AD, and explain how to achieve a seamless multi-user login environment with a centrally maintained directory. With the directory service, you can centrally maintain users and groups, and their permissions.

Software Engineer 114

Software Engineer Software Development Machine Learning ML 114

Flipboard

JULY 31, 2023

Pascal VOC 2012 Pascal VOC 2012 is a large-scale dataset of images used for object detection and image classification. The latest version, Pascal VOC 2012, contains 11,500 images divided into 20 object classes. Its meticulous curation and user-friendly design make it a robust tool for researchers and developers alike.

Machine Learning 123

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 123

Shreyansh Singh

MAY 16, 2021

XLNet integrates the novelties from Transformer-XL like recurrence mechanism and relative encoding scheme (explained later as well). Furthermore, Giga5, ClueWeb 2012-B and CommonCrawl datasets were also used. XLNet does not rely on data corruption as in BERT and hence does not suffer from the pretrain-finetune discrepancy.

BERT 52

BERT Auto-classification NLP Explainability 52

AWS Machine Learning Blog

AUGUST 4, 2023

On the IAM console, navigate to the SageMaker domain execution role. Choose Add permissions and select Create an inline policy. To delete the resources (API Gateway and SageMaker endpoint) created by CodePipeline, navigate to the AWS CloudFormation console and delete the stack that was created.

ML 90

ML Categorization AI AI 90

Heartbeat

DECEMBER 8, 2023

Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. Hinton is viewed as a leading figure in the deep learning community. We pay our contributors, and we don’t sell ads.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning LLM 52

Explosion

SEPTEMBER 3, 2015

This post explains the problem, why it’s so damaging, and why I wrote spaCy to do things differently. Another researcher’s offer from 2012 to implement this type of model also went unanswered. Natural Language Processing moves fast, so maintaining a good library means constantly throwing things away. The story in nltk.tag is similar.

Natural Language Processing 40

Natural Language Processing NLP Python Deep Learning 40

DataRobot Blog

APRIL 4, 2022

Originating in game theory, there is a reason why Shapley Value earned Lloyd Shapley a Nobel Prize in 2012. And in case one wishes for more control over the relationship, it is possible to impose monotonic constraints on media features (positive monotonicity) or price features (elasticity – negative monotonicity).

Machine Learning 52

Machine Learning Automation ML Algorithm 52