Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Named Entity Recognition ( NER) Named entity recognition (NER), an NLP technique, identifies and categorizes key information in text.

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Marktechpost

APRIL 30, 2024

PEFT’s applicability extends beyond Natural Language Processing (NLP) to computer vision (CV), garnering interest in fine-tuning large-parameter vision models like Vision Transformers (ViT) and diffusion models, as well as interdisciplinary vision-language models.

Large Language Models 132

Large Language Models Categorization Natural Language Processing Algorithm 132

Marktechpost

FEBRUARY 22, 2024

In computer vision, convolutional networks acquire a semantic understanding of images through extensive labeling provided by experts, such as delineating object boundaries in datasets like COCO or categorizing images in ImageNet.

Computer Vision 130

Computer Vision Natural Language Processing Neural Network Categorization 130

Unite.AI

SEPTEMBER 18, 2023

Blockchain technology can be categorized primarily on the basis of the level of accessibility and control they offer, with Public, Private, and Federated being the three main types of blockchain technologies.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

IBM Journey to AI blog

AUGUST 1, 2023

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy. An open-source model, Google created BERT in 2018. All watsonx.ai

Generative AI 176

Generative AI Data Scientist Machine Learning BERT 176

Topbots

APRIL 11, 2023

BERT by Google Summary In 2018, the Google AI team introduced a new cutting-edge model for Natural Language Processing (NLP) – BERT , or B idirectional E ncoder R epresentations from T ransformers. This model marked a new era in NLP with pre-training of language models becoming a new standard. What is the goal? accuracy on SQuAD 1.1

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

AWS Machine Learning Blog

JUNE 25, 2024

Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. By using the pre-trained knowledge of LLMs, zero-shot and few-shot approaches enable models to perform NLP with minimal or no labeled data.

Automation 119

Automation Prompt Engineering Prompt Engineer Categorization 119

AWS Machine Learning Blog

OCTOBER 6, 2023

For instance, in ecommerce, image-to-text can automate product categorization based on images, enhancing search efficiency and accuracy. In a previous post, we proposed a content moderation solution based on the BLIP model that addressed multiple challenges using computer vision unimodal ML approaches.

Generative AI 117

Generative AI Prompt Engineering Prompt Engineer Computer Vision 117

IBM Journey to AI blog

OCTOBER 16, 2023

Voice-based queries use Natural Language Processing (NLP) and sentiment analysis for speech recognition. This communication can involve speech recognition, speech-to-text conversion, NLP, or text-to-speech. AI-enabled computer vision is often used to analyze mammograms and for early lung cancer screening.

Machine Learning 131

Machine Learning ML Algorithm Chatbots 131

Viso.ai

OCTOBER 10, 2024

provides Viso Suite , the world’s only end-to-end Computer Vision Platform. The solution enables teams worldwide to develop and deliver custom real-world computer vision applications. Hence, pattern recognition is broader compared to computer vision which focuses on image recognition.

Neural Network 98

Neural Network Computer Vision Deep Learning Machine Learning 98

Towards AI

FEBRUARY 13, 2023

A practical guide on how to perform NLP tasks with Hugging Face Pipelines Image by Canva With the libraries developed recently, it has become easier to perform deep learning analysis. Hugging Face is a platform that provides pre-trained language models for NLP tasks such as text classification, sentiment analysis, and more.

Auto-classification 98

Auto-classification NLP Auto-complete Computer Vision 98

IBM Journey to AI blog

APRIL 18, 2024

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. NLP techniques help them parse the nuances of human language, including grammar, syntax and context. Most experts categorize it as a powerful, but narrow AI model.

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Towards AI

JANUARY 7, 2025

Introduction The idea behind using fine-tuning in Natural Language Processing (NLP) was borrowed from Computer Vision (CV). Despite the popularity and success of transfer learning in CV, for many years it wasnt clear what the analogous pretraining process was for NLP. How is Fine-tuning Different from Pretraining?

BERT 98

BERT NLP Natural Language Processing Computer Vision 98

Unite.AI

JUNE 10, 2024

By integrating advanced natural language processing (NLP ) algorithms, Siri will be able to provide more accurate and contextually relevant responses, making it a more reliable and efficient virtual assistant. This year's update is expected to bring significant new capabilities and designs centered around AI integration.

Natural Language Processing 130

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Marktechpost

OCTOBER 18, 2023

Surprisingly, recent developments in self-supervised learning, foundation models for computer vision and natural language processing, and deep understanding have significantly increased data efficiency. However, most training datasets in the present literature on treatments have small sample sizes.

Machine Learning 127

Machine Learning Deep Learning Neural Network Natural Language Processing 127

Marktechpost

JULY 16, 2023

The previous year saw a significant increase in the amount of work that concentrated on Computer Vision (CV) and Natural Language Processing (NLP). This includes 78,366 categorized sound events across 44 categories and 39,187 non-categorized sound events.

Large Language Models 98

Large Language Models Categorization Natural Language Processing BERT 98

Becoming Human

MAY 12, 2023

Computer vision algorithms had become widespread by the 1970s , and researchers used annotated images to train AI algorithms. It is now possible to detect and classify objects with computer vision algorithms without having to label the images manually.

Machine Learning 81

Machine Learning Computer Vision Artificial Intelligence Artificial Intelligence 81

Viso.ai

MAY 13, 2024

The labels are task-dependent and can be further categorized as an image or text annotation. provides a robust end-to-end no-code computer vision solution – Viso Suite. Viso Suite is the end-to-end computer vision application infrastructure. Get a demo here. What is Text Annotation?

Computer Vision 52

Computer Vision Natural Language Processing Categorization Chatbots 52

Mlearning.ai

JANUARY 26, 2023

Introduction Natural language processing (NLP) sentiment analysis is a powerful tool for understanding people’s opinions and feelings toward specific topics. This article will provide an overview of NLP sentiment analysis, how it works, and the different approaches that can be taken to assess sentiment. What is NLP Sentiment Analysis?

Natural Language Processing 52

Natural Language Processing NLP Deep Learning Computer Vision 52

AWS Machine Learning Blog

JANUARY 17, 2023

In this solution, we train and deploy a churn prediction model that uses a state-of-the-art natural language processing (NLP) model to find useful signals in text. In addition to textual inputs, this model uses traditional structured data inputs such as numerical and categorical fields. Computer vision. Fraud detection.

Categorization 81

Categorization BERT Machine Learning Neural Network 81

Explosion

NOVEMBER 9, 2016

Most NLP problems can be reduced to machine learning problems that take one or more texts as input. However, most NLP problems require understanding of longer spans of text, not just individual words. This has always been a huge weakness of NLP models. Now you have the solutions to three problems, not two.

Deep Learning 52

Deep Learning NLP Convolutional Neural Networks Neural Network 52

AWS Machine Learning Blog

SEPTEMBER 23, 2024

The dataset provided has a number of categorical features, which need to be converted to numerical features, as well as missing data. James’s work covers a wide range of ML use cases, with a primary interest in computer vision, deep learning, and scaling ML across the enterprise. Shibin Michaelraj is a Sr.

ML 80

ML Computer Vision Data Scientist Machine Learning 80

AWS Machine Learning Blog

MARCH 13, 2024

Amazon Comprehend is a natural language processing (NLP) service that uses ML to uncover valuable insights and connections in text. It also categorizes text into the following categories and provides a confidence score for each: hate_speech , graphic, harrassement_or_abuse , sexual, violence_or_threat , insult, and profanity.

Natural Language Processing 127

Natural Language Processing LLM Prompt Engineering Prompt Engineer 127

Viso.ai

MARCH 26, 2024

This enhances the interpretability of AI systems for applications in computer vision and natural language processing (NLP). Viso Suite: The only truly end-to-end computer vision solution, Viso Suite eliminates the need for point solutions. Viso Suite is the end-to-End, No-Code Computer Vision Solution.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

Topbots

OCTOBER 4, 2023

Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., spam vs. not spam), while generative NLP models can create new text based on a given prompt (e.g., a social media post or product description).

Generative AI 119

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119

Viso.ai

DECEMBER 22, 2023

The Segment Anything Model (SAM), a recent innovation by Meta’s FAIR (Fundamental AI Research) lab, represents a pivotal shift in computer vision. SAM performs segmentation, a computer vision task , to meticulously dissect visual data into meaningful segments, enabling precise analysis and innovations across industries.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Auto-classification 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. Tagging helps you categorize resources by purpose, team, environment, or other criteria relevant to your business.

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IDP Auto-classification Machine Learning Auto-complete 99

Heartbeat

MARCH 8, 2023

Heartbeat these past few weeks has had lots of great articles covering the latest research, NLP use-cases, and Comet tutorials. Happy Reading, Emilie, Abby & the Heartbeat Team Natural Language Processing With SpaCy (A Python Library) — by Khushboo Kumari This post goes over how the most cutting-edge NLP software, SpaCy , operates.

Convolutional Neural Networks 40

Convolutional Neural Networks Neural Network Natural Language Processing Deep Learning 40

Snorkel AI

MARCH 1, 2023

OpenAI Founded in 2015, OpenAI conducts cutting-edge research in machine learning, natural language processing, computer vision, and robotics, and shares its findings with the scientific community through publications and open-source software. OpenAI is responsible for debuting GPT-3, DALL-E and ChatGPT.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

Pickl AI

APRIL 25, 2023

There are five different subsets of Artificial Intelligence which include Machine Learning, Deep Learning, Robotics, Neural Networks, and NLP. Robots may learn to recognize items and patterns using machine learning methods, while computer vision techniques can assist robots to see their surroundings. What is NLP?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Natural Language Processing 52

Pickl AI

OCTOBER 21, 2024

This innovative approach is transforming applications in computer vision, Natural Language Processing, healthcare, and more. E-commerce E-commerce platforms use ZSL for product categorization and recommendation systems, allowing them to suggest items based on user preferences without requiring exhaustive labelling of all products.

Natural Language Processing 52

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NVIDIA Developer

JUNE 2, 2021

Applications for natural language processing (NLP) have exploded in the past decade. With the proliferation of AI assistants and organizations infusing their businesses with more interactive human-machine experiences, understanding how NLP techniques can be used to manipulate, analyze, and generate text-based data is essential.

Natural Language Processing 40

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Viso.ai

NOVEMBER 20, 2024

About us : Viso Suite offers the only truly end-to-end Computer Vision Infrastructure. But increasingly sophisticated domains like computer vision and natural language processing are bridging the gap between ANI and artificial general intelligence. Google is currently captioning millions of YouTube videos with AI.

Computer Vision 52

Computer Vision Neural Network Natural Language Processing Artificial Intelligence 52

Viso.ai

JULY 18, 2024

LLMs apply powerful Natural Language Processing (NLP), machine translation, and Visual Question Answering (VQA). Categorization of LLMs – Source One of the most common examples of an LLM is a virtual voice assistant such as Siri or Alexa. When you ask, “What is the weather today?

Large Language Models 52

Large Language Models Neural Network Natural Language Processing BERT 52

Pickl AI

SEPTEMBER 17, 2024

It involves tasks such as handling missing values, removing outliers, encoding categorical variables, and scaling numerical features. Classification is a type of supervised learning task where the goal is to predict a discrete or categorical output variable based on the input features.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Machine Learning 52

Viso.ai

JANUARY 16, 2024

This ANN’s training involves understanding and categorizing music based on human perceptions and emotions. Emotional Perception AI Ltd argues that this is going a step beyond conventional categorization. ’ It uses natural language processing (NLP) for the descriptions, allowing the ANN to develop a semantic understanding.

Neural Network 52

Neural Network Computer Vision Categorization Algorithm 52

Pickl AI

DECEMBER 10, 2024

Categorical Features (Nominal vs. Ordinal) Categorical features group data into distinct categories or classes, often representing qualitative attributes. Handling categorical data appropriately is essential for ensuring accurate interpretations by Machine Learning models.

Machine Learning 52

Machine Learning Convolutional Neural Networks Categorization Automation 52