Snorkel AI

JUNE 12, 2023

For every model development step in the modern journey of building AI applications, there is a critical but often underappreciated data development step, where the data that actually informs the model is selected, labeled, cleaned, shaped, and curated. The key differentiator? They trained it on 100x the amount of data.

Data Platform 141

Data Platform Large Language Models Software Development ChatGPT 141

AWS Machine Learning Blog

OCTOBER 19, 2023

Amazon Rekognition uses a hierarchical taxonomy to label inappropriate or unwanted content with 10 top-level moderation categories (such as violence, explicit, alcohol, or drugs) and 35 second-level categories. One such capability is Amazon Rekognition Content Moderation , which detects inappropriate or unwanted content in images and videos.

Computer Vision 107

Computer Vision Auto-complete Artificial Intelligence Artificial Intelligence 107

AWS Machine Learning Blog

OCTOBER 18, 2023

This post details how Purina used Amazon Rekognition Custom Labels , AWS Step Functions , and other AWS Services to create an ML model that detects the pet breed from an uploaded image and then uses the prediction to auto-populate the pet attributes. It uses Rekognition Custom Labels to predict the pet breed.

Auto-complete 94

Auto-complete Auto-classification Automation ML 94

Flipboard

MAY 17, 2023

But you also said that AGI research wasn’t doing very well at that time at solving the basic problems that had remained intractable for 50 years. But you also said that AGI research wasn’t doing very well at that time at solving the basic problems that had remained intractable for 50 years. Rodney Brooks, Robust.AI

Large Language Models 182

Large Language Models Robotics Convolutional Neural Networks Neural Network 182

Flipboard

FEBRUARY 3, 2023

The Seattle Police Department has been using the technology since last year, the company says. “Like most departments, Memphis PD reviews less than 1% of their body camera videos because there is simply too much data for humans to watch. SPD declined to answer questions about the department’s use of Truleo.

Natural Language Processing 98

Natural Language Processing Artificial Intelligence Artificial Intelligence AI 98

AWS Machine Learning Blog

SEPTEMBER 22, 2023

and many more years of love together” ) rather than following the prompt as an explicit instruction (e.g. In this blog post, we ask annotators to rank model outputs based on specific parameters, such as helpfulness, truthfulness, and harmlessness. a written email). This occurs because the model is trained to predict the next token.

Machine Learning 96

Machine Learning LLM Computer Vision Large Language Models 96

John Snow Labs

APRIL 22, 2024

Accurate Extraction of Response to Treatment Indications in Oncology Accurate assessment of patient response to cancer treatment is paramount in guiding clinical decision-making and optimizing therapeutic outcomes. There are multiple approaches for evaluating a patient’s response to cancer treatment using NLP.

NLP 64

NLP Categorization Natural Language Processing BERT 64

AWS Machine Learning Blog

APRIL 17, 2023

ML fraud model performance relies heavily on the quality of data it is trained on, and, specifically for the supervised models, accurate labeled data is crucial. Previously, you had to provide over 10,000 labeled events with at least 400 examples of fraud to train a model. Therefore, you can expect higher false positive rates.

Machine Learning 72

Machine Learning ML Automation AI 72

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Security SMEs review the architecture based on business security policies and needs. Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. However, bringing such solutions and models to the business-as-usual operations is not an easy task.

Generative AI 102

Generative AI Prompt Engineer Prompt Engineering AI 102

Flipboard

MARCH 1, 2023

This year, Microsoft has reportedly invested an additional $10 billion in the startup known as “OpenAI,” which released its highly successful ChapGPT platform in November of last year. In 2021, the investment in AI tools reached a total of $111.4 Why should you care?

AI Tools 139

AI Tools Natural Language Processing Machine Learning AI 139

AWS Machine Learning Blog

MARCH 6, 2024

Nature Reviews Drug Discovery 22, 260–260 (2023). Both LLMs and pLMs have grown by orders of magnitude in the past few years, as illustrated in the following figure. Proteins are the molecular machines of the body, responsible for everything from moving your muscles to responding to infections. COVID-19 Spikevax Moderna $21.8

Neural Network 92

Neural Network Large Language Models Machine Learning ML 92

AssemblyAI

SEPTEMBER 12, 2023

Traditionally, this included newspapers, magazines, TV broadcasts, and radio, but it's now expanded to digital media sources: Social media networks Online news sites Blogs Forums Video Podcasts TV The purpose of media monitoring is to stay up to date on how the public perceives your brand. What Is Media Monitoring?

Categorization 130

Categorization AI AI AI Modeling 130

Defined.ai blog

MARCH 23, 2023

For example, consider the following review of a restaurant: “The food was amazing, but the service was terrible.” ” In this review, the overall sentiment is positive (the food was amazing), but the sentiment of the service is negative (the service was terrible). .” Evaluating the results.

NLP 52

NLP Computational Linguistics Computational Semantics Natural Language Processing 52

ODSC - Open Data Science

MARCH 8, 2024

Source ) In a blog post released today, OpenAI fired back at Elon Musk’s lawsuit and moved to dismiss his claims about the company’s motives. Source ) In a blog post released today, OpenAI fired back at Elon Musk’s lawsuit and moved to dismiss his claims about the company’s motives. Do AI video generators dream of San Pedro?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Large Language Models AI 52

ODSC - Open Data Science

FEBRUARY 22, 2023

Planning the Presentation: Reviewing Strategic Fundamentals Regardless of the audience or topic, there are core strategic principles that underlie any successful, live data-driven presentation. There are fundamental presentation concepts that you should review and account for as you design, develop, and deliver your presentation.

Big Data 98

Big Data Data Science Artificial Intelligence Artificial Intelligence 98

IBM Journey to AI blog

OCTOBER 16, 2023

Businesses use ML to monitor social media and other activity for customer responses and reviews. ML classification algorithms are also used to label events as fraud, classify phishing attacks and more. Here are some real-world applications of machine learning that have become part of our everyday lives.

Machine Learning 129

Machine Learning ML Algorithm Chatbots 129

Heartbeat

JANUARY 30, 2023

A machine learning model is trained using a sizable dataset of text that has been labeled in order to classify language as positive, negative, or neutral. But they need a lot of labeled training data, and the dataset could be biased. The quantity of positive and negative words in a passage of text can be used to gauge its mood.

Machine Learning 52

Machine Learning Deep Learning Natural Language Processing NLP 52

AWS Machine Learning Blog

OCTOBER 10, 2023

Trained on 680 thousand hours of labelled data, Whisper models demonstrate a strong ability to generalize to many datasets and domains without the need for fine-tuning. SageMaker JumpStart offers foundation models based on different tasks or model providers, and you can easily review model characteristics and usage terms.

Machine Learning 90

Machine Learning OpenAI ML Algorithm 90

AWS Machine Learning Blog

MARCH 30, 2023

ML model optimized for annotators A tremendous number of high-performing object detection models have been proposed by the computer vision community in recent years. This allows us to highlight less confident edges for more efficient and precise human review. The following table summarizes our findings.

Machine Learning 83

Machine Learning Convolutional Neural Networks Neural Network Computer Vision 83

Towards AI

JULY 15, 2023

If I ask you this: “Suppose we have data containing the population of each county in the US for the year 2000. An illustration of Benford’s Distribution, Photo by Author. In the expansive digital landscape of social media, user authenticity is a paramount concern. As platforms like Twitter grow, so does the proliferation of fake accounts.

Machine Learning 73

Machine Learning Algorithm AI AI 73

Google Research AI blog

MARCH 14, 2023

Developing machine learning (ML) tools in pathology to assist with the microscopic review represents a compelling research area with many potential applications. This is in contrast to training models to predict “intermediate” human-annotated labels for known pathologic features and then using those features to predict outcomes.

Deep Learning 95

Deep Learning ML Machine Learning Explainability 95

AWS Machine Learning Blog

APRIL 24, 2023

Since conversational AI has improved in recent years, many businesses have adopted cutting-edge technologies like AI-powered chatbots and AI-powered agent support to improve customer service while increasing productivity and lowering costs. In the global retail industry, pre- and post-sales support are both important aspects of customer care.

ML 62

ML NLP Machine Learning ETL 62

AWS Machine Learning Blog

JANUARY 12, 2023

The Very Group’s culture to learn and experiment meant Amazon Comprehend was reviewed for applicability using a Java application to learn how it worked with test PII data. This is guest post by Andy Whittle, Principal Platform Engineer – Application & Reliability Frameworks at The Very Group. Overview of solution.

DevOps 106

DevOps Natural Language Processing Metadata Automation 106

AWS Machine Learning Blog

AUGUST 21, 2023

Explainability of machine learning (ML) models used in the medical domain is becoming increasingly important because models need to be explained from a number of perspectives in order to gain adoption. These perspectives range from medical, technological, legal, and the most important perspective—the patient’s.

Explainability 77

Explainability BERT ML NLP 77

Pickl AI

JULY 24, 2023

According to recent reports, the demand for data scientists has grown by over 30% in the past year, and this trend is expected to continue. Data Science salary in India is one of the best. Pursuing a data science certification course makes you eligible to get the best Data Science salary in India. What is Data Science?

Data Science 52

Data Science Data Scientist Machine Learning Algorithm 52

Topbots

APRIL 11, 2023

As a testament to the remarkable progress in this area, several groundbreaking language models have emerged in recent years, pushing the boundaries of what machines can understand and generate. We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI.

NLP 98

NLP Large Language Models BERT Natural Language Processing 98

Heartbeat

JUNE 12, 2023

For example, a model trained on sales data from one year may experience data drift when used to predict sales in a different year with different trends and patterns. Feedback Monitoring gathers feedback from users and stakeholders to ensure the model meets their needs and expectations.

Machine Learning 98

Machine Learning Data Drift Explainability Data Quality 98

Mlearning.ai

FEBRUARY 24, 2023

In this blog post, we will explain what PCA is and how it works and present five examples of PCA analysis. PCA is an unsupervised learning technique that does not require labels or target variables. Principal Component Analysis (PCA) is a popular statistical technique used to reduce the dimensions of a large data set.

Explainability 52

Explainability Machine Learning Data Science Algorithm 52

AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. For many years, Philips has been pioneering the development of data-driven algorithms to fuel its innovative solutions across the healthcare continuum. Philips is a health technology company focused on improving people’s lives through meaningful innovation.

Data Scientist 88

Data Scientist ML Data Science Automation 88

PyImageSearch

APRIL 3, 2023

With the help of the OpenVINO toolkit, you would convert and optimize the TensorFlow FP32 (32-bit floating point) model to the MyriadX blob file format expected by the Visual Processing Unit of the OAK device. The converted blob file would then run image classification inference on the OAK-D using the DepthAI API. computer vision) on a daily basis.

Neural Network 64

Neural Network Computer Vision Deep Learning AI 64

AWS Machine Learning Blog

MAY 23, 2023

With tradition ML models, in order to achieve each specific task, you need to gather labeled data, train a model, and deploy that model. With foundation models, instead of gathering labeled data for each model and training multiple models, you can use the same pre-trained FM to adapt various tasks.

Generative AI 91

Generative AI AI Modeling ML AI 91

AWS Machine Learning Blog

JANUARY 12, 2023

Whether by phone, web, chat, or email, this customer support software enables agents and customers to quickly connect and solve customer problems. AWS and Salesforce have been in a strategic partnership since 2016, and are working together to innovate on behalf of customers. Solution overview. The following diagram shows the solution architecture.

Metadata 78

Metadata Automation AI AI 78

The MLOps Blog

FEBRUARY 22, 2024

TL;DR: In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it. Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. Each smaller dataset, which might contain just one sample, is only used once.

Continuous Learning 59

Continuous Learning Machine Learning ML Neural Network 59

The MLOps Blog

JANUARY 25, 2023

Different sets of words are first labeled into three different categories. are assigned a positive label. are assigned a neutral label, and finally, words like “Sad”, “Bad”, etc. are assigned a negative label. are assigned a neutral label, and finally, words like “Sad”, “Bad”, etc. are assigned a negative label.

BERT 52

BERT Natural Language Processing ML Deep Learning 52

Flipboard

FEBRUARY 13, 2023

Table of Contents Building a Dataset for Triplet Loss with Keras and TensorFlow Labeled Faces in the Wild Dataset Configuring Your Development Environment Having Problems Configuring Your Development Environment? Specifically, we will build a dataset for training our Siamese network-based recognition model. identification and verification).

Computer Vision 106

Computer Vision Deep Learning Neural Network Auto-complete 106

John Snow Labs

MAY 22, 2023

They had a vast amount of data to analyze, including travel reviews from TripAdvisor. However, they faced a significant challenge – how to extract the relevant entities such as names of places, restaurants, hotels, shops, products, or services mentioned in the reviews efficiently. A very similar dataset can be downloaded here.

NLP 52

NLP Explainability 52

AWS Machine Learning Blog

FEBRUARY 14, 2024

Labeling mistakes are important to identify and prevent because model performance for pose estimation models is heavily influenced by labeled data quality and data volume. In this post, we show how you can use a custom labeling workflow in Amazon SageMaker Ground Truth specifically designed for keypoint labeling.

Computer Vision 102

Computer Vision Python Data Scientist Machine Learning 102