Artificial Corner

JULY 9, 2023

Unsupervised learning is a powerful branch of machine learning where algorithms learn patterns and relationships in data without any explicit guidance or pre-labelled examples. In contrast, supervised learning involves classifying data based on pre-determined labels, such as categorizing images as either cats or dogs.

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AI Weekly

MAY 25, 2023

reuters.com Sponsor Fresh, pre-portioned, whole-ingredient goodness designed just for your dog For dog owners who want the best for their furry friends, there's Nom Nom. With pre-portioned meals tailored to your dog's specific caloric needs, feeding them the right amount of food has never been easier. reuters.com Ethics — what ethics?

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OpenAI Robotics ChatGPT Artificial Intelligence 130

AI Weekly

SEPTEMBER 14, 2023

hospitalitynet.org How to train AI to recognize images and classify – AI image recognition Google Cloud has introduced a new Jump Start Solution that harnesses this power, providing an end-to-end demonstration of how developers can architect an application for image recognition and classification using pre-trained models.

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Robotics Artificial Intelligence Artificial Intelligence Machine Learning 218

AWS Machine Learning Blog

OCTOBER 19, 2023

In this post, we discuss how to use the Custom Moderation feature in Amazon Rekognition to enhance the accuracy of your pre-trained content moderation API. The Adapter performance section displays improvements in false positives and false negatives when compared to the pre-trained moderation model.

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Computer Vision Auto-complete Artificial Intelligence Artificial Intelligence 108

Towards AI

FEBRUARY 18, 2024

It is typically employed to deduce the influence of marketing interventions on businesses, such as predicting the anticipated revenue from a specific campaign or even determining more accurately the revenue generated by a particular channel by completely disabling it. astype('category')df['Dept'] = df['Dept'].astype('string')df['Date']

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Python Algorithm AI AI 104

Heartbeat

JULY 19, 2023

The article will provide an in-depth understanding of how to preprocess the data, load the pre-trained model, and evaluate the results of the sentiment analysis. transformers: This is the main Hugging Face Transformers library in R, providing access to a wide range of pre-trained NLP models.

Natural Language Processing 52

Natural Language Processing BERT NLP Python 52

John Snow Labs

APRIL 18, 2024

In this post, we explore the utilization of pre-trained models within the Healthcare NLP library by John Snow Labs to map medical terminology to the MedDRA ontology. The terminology is used through the entire regulatory process, from pre-marketing to post-marketing, and for data entry, retrieval, evaluation, and presentation.

NLP 40

NLP BERT Categorization Automation 40

Unite.AI

FEBRUARY 16, 2024

Since its launch in 2020, the Buddy app has won several awards and topped the charts in the App Store's Kids and Education category with over 36M downloads worldwide. Our unique audience and market required the development of proprietary technology. What were some of your key takeaways from this experience?

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AWS Machine Learning Blog

MAY 5, 2023

To create this app, they need a high-quality dataset containing clothing images, labeled with different categories. In this post, we show how to repurpose an existing dataset via data cleaning, preprocessing, and pre-labeling with a zero-shot classification model in FiftyOne , and adjusting these labels with Amazon SageMaker Ground Truth.

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Metadata Computer Vision Machine Learning Data Scientist 75

Viso.ai

DECEMBER 20, 2023

In image recognition , supervised learning algorithms are used to learn how to identify a particular object category (e.g., “person”, “car”, etc.) For example, you can use supervised learning for image classification , where algorithms learn to classify data into different categories (e.g., from a set of images.

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ODSC - Open Data Science

JANUARY 25, 2024

OpenAI Releases GPT Store The GPT Store showcases popular and trending GPTs across diverse categories such as DALL·E, writing, research, programming, education, and lifestyle.

LLM 52

LLM OpenAI Large Language Models Data Science 52

Unite.AI

AUGUST 15, 2023

Copy AI is a powerful AI writing tool designed to help you write copy for email marketing, blog content, social media posts, and more. Copy AI offers over 90 templates and tools broken down into six categories (Business, Careers, HR, Marketing, Personal, Real Estate, and Sales), so you'll be sure to find something that suits your needs.

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Towards AI

FEBRUARY 13, 2024

Artists can also decide what content categories their voice can be used for. However, it wouldn’t be surprising that Sam expects the chip market to grow far beyond current levels and for this to require huge associated investment (including energy demands). This article shared the practices and techniques for improving data quality.

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Metadata OpenAI AI AI 101

Marktechpost

JUNE 4, 2023

To improve your marketing’s clickthrough rates, try using a link shortener to shorten the long URLs you’ll be using. Here are a few URL shorteners on the market: Hopp.co apart from other link shorteners is its “pre-roll” customizable promotional page. Long URLs may discourage people from clicking on them.

AI Tools 96

AI Tools Categorization Automation AI Researcher 96

Pickl AI

AUGUST 1, 2023

By analyzing text data, businesses can gain valuable insights into customer sentiments, emerging trends, market preferences, and competitor analysis. Text Classification This technique is helpful in the classification of large volumes of text into predefined categories. How To Do Text Mining in Python?

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Data Analysis Python Categorization Data Mining 52

IBM Journey to AI blog

MAY 26, 2023

By providing virtually unlimited compute/storage and pay-as-you-go pricing models, and by being armed with advanced analytics and AI, global scale, and fast innovation, cloud is leveling the technical stage for newcomers and redefining the way disruptors can enter the market.

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Marktechpost

JULY 1, 2023

Anyword Anyword is an artificial intelligence (AI) based text generator and copywriting tool made for use in marketing. Teleport Me, Scale, Neverland, Updigital, Digital Minds Group, B2Brain, and Westlake University are just a few of the 20,000+ marketers who put their faith in LongShot.

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Artificial Intelligence Artificial Intelligence AI AI 94

Marktechpost

JULY 17, 2023

Criminal IP: AI-based Phishing Link Checker This is a free extension that uses AI for real-time scanning and classification into five categories: Safe, Low, Moderate, Dangerous, and Critical, thus protecting against phishing, ransomware, malware, and fraud. The program may produce blog entries, ad copy, and social media updates. Seamless.ai

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AWS Machine Learning Blog

NOVEMBER 17, 2023

A rules engine evaluates moderation guidelines, determining the frequency of stream sampling and the applicable moderation categories, all within predefined policies. Amazon Rekognition Content Moderation provides pre-trained APIs to analyze a wide range of inappropriate or offensive content, such as violence, nudity, hate symbols, and more.

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ML Natural Language Processing Algorithm Computer Vision 88

Heartbeat

FEBRUARY 21, 2023

Applications for sentiment analysis include market research, customer service, and social media monitoring. Sentiment Analysis One common approach to sentiment analysis is using supervised machine learning techniques to classify text into various sentiment categories, such as positive, negative, or neutral.

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Natural Language Processing NLP Computational Linguistics Machine Learning 52

Ofemwire

MAY 9, 2023

AI-driven email automation tools can take your email marketing efforts to the next level, saving you time and boosting your ROI. This ultimate list has something for everyone, whether you’re a novice or an experienced email marketer. Here are some ways your email marketing strategy can benefit from AI: 1.

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Automation AI AI ChatGPT 52

Bugra Akyildiz

JANUARY 20, 2024

They cover various papers in different categories: Deep learning and search ranking: One of the challenges in search ranking is that users are searching over a period of days or weeks, and not minutes. Consider pre-processing, chunking,or reducing the dimensionality of your data to lower its memory footprint.

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Natural Language Processing NLP AI AI 52

The MLOps Blog

JANUARY 25, 2023

Sentiment analysis is one of the most important concepts in marketing and product space. Different sets of words are first labeled into three different categories. If any of these words are detected in the text, then it is classified in one of the given sentiment categories. positive, negative, neutral).

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BERT Natural Language Processing ML Deep Learning 52

John Snow Labs

JUNE 27, 2023

Pre-trained on massive corpora, LLMs acquire a deep understanding of language, which can be fine-tuned for specific downstream tasks. The pre-trained models serve as a solid foundation, requiring only fine-tuning for specific tasks, reducing the development cycle and associated costs.

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Large Language Models BERT Natural Language Processing NLP 52

Ofemwire

NOVEMBER 21, 2023

ChatGPT prompts can help you create compelling product listings and engaging marketing materials that will help you sell more on Amazon. Can you provide a detailed launch plan, including pre-launch activities, keyword optimization, and post-launch marketing strategies?

ChatGPT 52

ChatGPT Algorithm AI AI 52

Snorkel AI

OCTOBER 23, 2023

These models help Wayfair reduce manual labeling costs and automate improvements across search, marketing, and customer experience. In partnership with Snorkel Flow, Wayfair overcame its challenges with: Programmatic labeling : By feeding pre-trained foundation models relevant prompts (e.g.

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Automation Computer Vision Machine Learning Data Scientist 64

Marktechpost

JULY 4, 2023

Classification Classifying text into predetermined categories is an example of supervised learning. Text with similar meanings can be clustered together without the use of pre-defined classes by employing clustering, an unsupervised learning technique. It is pre-trained using a generalized autoregressive model.

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Large Language Models BERT Natural Language Processing Categorization 102

The MLOps Blog

JANUARY 18, 2023

Time Series forecasting using deep learning models can help retailers make more informed and strategic decisions about their operations and improve their competitiveness in the market. Dataset | Source: Author The data is complex as it has different categories of features. dt.year * 12 + decoder_data[ "date" ].dt.month

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Data Drift Categorization Deep Learning ML 52

Dlabs.ai

AUGUST 21, 2023

Each category might have different implications for both ethics and legality. Specific data points like health records, financial information, or personal identifiers are considered sensitive within these categories. IP valuation and business growth: As businesses evolve, their IP can become valuable, especially in tech-driven markets.

Large Language Models 98

Large Language Models Automation Categorization AI Modeling 98

Ofemwire

MAY 7, 2023

From chatbots and personalization tools to marketing automation and predictive analytics, these tools can help businesses automate tasks, deliver personalized experiences, and make data-driven decisions. Marketing automation tools Marketing automation tools are becoming increasingly popular in the online business world.

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AI Tools Chatbots Automation AI 52

AWS Machine Learning Blog

AUGUST 3, 2023

In addition to existing capabilities, businesses need to summarize specific categories of information, including debit and credit data from documents such as financial reports and bank statements. Ashish Lal is a Senior Product Marketing Manager who leads product marketing for AI services at AWS.

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IDP Generative AI AI AI 75

Snorkel AI

OCTOBER 23, 2023

These models help Wayfair reduce manual labeling costs and automate improvements across search, marketing, and customer experience. In partnership with Snorkel Flow, Wayfair overcame its challenges with: Programmatic labeling : By feeding pre-trained foundation models relevant prompts (e.g.

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Automation Computer Vision Machine Learning Data Scientist 59

John Snow Labs

MAY 19, 2023

According to a report, the NLP market size is expected to reach $27.6 The second step classifies the entities based on categories. are entity categories. Natural Language Processing ( NLP ) is changing the way the legal sector operates. billion by 2026. For instance, people, organization, location, time, etc.,

NLP 52

NLP Natural Language Processing Large Language Models Deep Learning 52

Dlabs.ai

AUGUST 21, 2023

Each category might have different implications for both ethics and legality. Specific data points like health records, financial information, or personal identifiers are considered sensitive within these categories. IP valuation and business growth: As businesses evolve, their IP can become valuable, especially in tech-driven markets.

Large Language Models 98

Large Language Models Automation AI Modeling AI 98

Heartbeat

JANUARY 30, 2023

Customer service, marketing, and political analysis are just a few of the many uses for sentiment analysis. In marketing, businesses can utilize sentiment analysis to comprehend consumer perceptions of their brand, those of their rivals, and market trends. Sentiment analysis is often applied to political analysis.

Machine Learning 52

Machine Learning Deep Learning Natural Language Processing NLP 52

AWS Machine Learning Blog

NOVEMBER 7, 2023

Instead of relying solely on their pre-trained knowledge, RAG allows models to pull data from documents, databases, and more. Pre-equipped with tools like AWS CLI, AWS CDK, and Docker, AWS Cloud9 can function as your deployment workstation. AWS Cloud9 comes pre-loaded with the AWS CLI, AWS CDK, and Docker.

Large Language Models 94

Large Language Models Generative AI LLM AI 94

Mlearning.ai

JULY 25, 2023

Measurable success for this task is identifying trends and user behavior that could be used for future marketing. Business Objective Bellabeat needs to gain more insight into how customers use their smart watches. In order to understand user trends, a lifestyle label was created from existing data via kmeans, using total mean distance.

Data Science 52

Data Science Categorization Explainability ML 52