Marktechpost

MAY 28, 2024

CNNs excel in tasks like object classification, detection, and segmentation, achieving human-level accuracy in diagnosing conditions from radiographs, dermatology images, retinal scans, and more. RNNs are pivotal in this domain because they can process sequential data effectively.

Deep Learning 115

Deep Learning Auto-classification Computer Vision Data Mining 115

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

AWS Machine Learning Blog

DECEMBER 5, 2023

Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. Custom classification is a two-step process.

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Metadata Auto-classification Auto-complete Content Enrichment 124

Snorkel AI

JANUARY 11, 2023

Using Snorkel Flow, Pixability leveraged foundation models to build small, deployable classification models capable of categorizing videos across more than 600 different classes with 90% accuracy in just a few weeks. To help brands maximize their reach, they need to constantly and accurately categorize billions of YouTube videos.

NLP 52

NLP Auto-classification Categorization Natural Language Processing 52

AWS Machine Learning Blog

OCTOBER 6, 2023

Background of multimodality models Machine learning (ML) models have achieved significant advancements in fields like natural language processing (NLP) and computer vision, where models can exhibit human-like performance in analyzing and generating content from a single source of data.

Generative AI 129

Generative AI Prompt Engineering Prompt Engineer Computer Vision 129

Becoming Human

MARCH 16, 2023

A typical application of GNN is node classification. GNNs are a hybrid of an information diffusion mechanism and neural networks that are used to process data, representing a set of transition functions and a set of output functions. Graph Classification: The goal here is to categorize the entire graph into various categories.

Neural Network 87

Neural Network Auto-classification Convolutional Neural Networks Auto-complete 87

Mlearning.ai

FEBRUARY 19, 2023

You don’t need to have a PhD to understand the billion parameter language model GPT is a general-purpose natural language processing model that revolutionized the landscape of AI. GPT-3 is a autoregressive language model created by OpenAI, released in 2020 . What is GPT-3?

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Auto-classification Natural Language Processing Auto-complete NLP 52

Marktechpost

MARCH 6, 2025

Sentiment analysis, a widely-used natural language processing (NLP) technique, helps quickly identify the emotions expressed in text. Transformers provides pre-built NLP models, torch serves as the backend for deep learning tasks, and accelerate ensures efficient resource utilization on GPUs.

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Auto-classification NLP AI Modeling Natural Language Processing 48

Mlearning.ai

JUNE 28, 2023

I came up with an idea of a Natural Language Processing (NLP) AI program that can generate exam questions and choices about Named Entity Recognition (who, what, where, when, why). This is the link [8] to the article about this Zero-Shot Classification NLP. See the attachment below.

Machine Learning 52

Machine Learning NLP Auto-classification Natural Language Processing 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

With eight Qualcomm AI 100 Standard accelerators and 128 GiB of total accelerator memory, customers can also use DL2q instances to run popular generative AI applications, such as content generation, text summarization, and virtual assistants, as well as classic AI applications for natural language processing and computer vision.

BERT 132

BERT Deep Learning Python Auto-classification 132

AWS Machine Learning Blog

MAY 31, 2024

It’s a next generation model in the Falcon family—a more efficient and accessible large language model (LLM) that is trained on a 5.5 It’s built on causal decoder-only architecture, making it powerful for auto-regressive tasks. trillion token dataset primarily consisting of web data from RefinedWeb with 11 billion parameters.

Python 120

Python Machine Learning Auto-classification ML 120

AWS Machine Learning Blog

JUNE 12, 2023

The model is trained on the Pile and can perform various tasks in language processing. It can support a wide variety of use cases, including text classification, token classification, text generation, question and answering, entity extraction, summarization, sentiment analysis, and many more. 24xlarge, or ml.p4de.24xlarge.

Deep Learning 98

Deep Learning Auto-classification Computer Vision Machine Learning 98

Marktechpost

DECEMBER 18, 2024

TabNine TabNine is an AI-powered code auto-completion tool developed by Codota, designed to enhance coding efficiency across a variety of Integrated Development Environments (IDEs). It offers powerful capabilities in natural language processing (NLP), machine learning, data analysis, and decision optimization.

Software Development 104

Software Development AI Tools DevOps Machine Learning 104

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. This can be achieved by updating the endpoint’s inference units (IUs).

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IDP Auto-classification Machine Learning Auto-complete 114

Dlabs.ai

MARCH 19, 2021

Lead generation and paperwork approval are two areas with proven solutions, while optical character recognition software is transforming how businesses approach document classification. — ‘Optical… what?’ But ‘What is document classification?’ What Is Document Classification? we hear you ask. And ‘How does it work?’

Auto-classification 52

Auto-classification Automation Natural Language Processing NLP 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

An IDP pipeline usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. Adjust throughput configurations or use AWS Application Auto Scaling to align resources with demand, enhancing efficiency and cost-effectiveness.

IDP 120

IDP Machine Learning Data Extraction ML 120

Snorkel AI

JANUARY 12, 2023

While a majority of Natural Language Processing (NLP) models focus on English, the real world requires solutions that work with languages across the globe. Labeling data from scratch for every new language would not scale, even if the final architecture remained the same.

BERT 52

BERT NLP Natural Language Processing Auto-classification 52

John Snow Labs

JUNE 27, 2023

Are you curious about the groundbreaking advancements in Natural Language Processing (NLP)? Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. Ever wondered how machines can understand and generate human-like text?

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

AWS Machine Learning Blog

MARCH 2, 2023

Sentiment analysis and other natural language programming (NLP) tasks often start out with pre-trained NLP models and implement fine-tuning of the hyperparameters to adjust the model to changes in the environment. She has a technical background in AI and Natural Language Processing. eks-create.sh

BERT 98

BERT Deep Learning Metadata Auto-complete 98

Viso.ai

DECEMBER 22, 2023

Its creators took inspiration from recent developments in natural language processing (NLP) with foundation models. This leap forward is due to the influence of foundation models in NLP, such as GPT and BERT. SAM’s game-changing impact lies in its zero-shot inference capabilities.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Auto-classification 52

Google Research AI blog

FEBRUARY 28, 2023

We continued to grow open source datasets in 2022, for example, in natural language processing and vision, and expanded our global index of available datasets in Google Dataset Search. Dataset Description Auto-Arborist A multiview urban tree classification dataset that consists of ~2.6M Pfam-NUniProt2 A set of 6.8

Robotics 72

Robotics Deep Learning Auto-classification ML 72

AWS Machine Learning Blog

SEPTEMBER 6, 2023

What is Llama 2 Llama 2 is an auto-regressive language model that uses an optimized transformer architecture. After it’s fine-tuned on the domain-specific dataset, the model is expected to generate domain-specific text and solve various NLP tasks in that specific domain with few-shot prompting.

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Auto-complete Machine Learning ML Python 130

AWS Machine Learning Blog

NOVEMBER 1, 2023

The system is further refined with DistilBERT , optimizing our dialogue-guided multi-class classification process. Additionally, you benefit from advanced features like auto scaling of inference endpoints, enhanced security, and built-in model monitoring.

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Auto-classification LLM Auto-complete Generative AI 122

Unite.AI

MARCH 28, 2024

Large language models (LLMs) like GPT-4, LLaMA , and PaLM are pushing the boundaries of what's possible with natural language processing. Let's start by understanding why LLM inference is so challenging compared to traditional NLP models.

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Large Language Models LLM Natural Language Processing Prompt Engineer 130

AWS Machine Learning Blog

JANUARY 17, 2024

Llama 2 is an auto-regressive generative text language model that uses an optimized transformer architecture. As a publicly available model, Llama 2 is designed for many NLP tasks such as text classification, sentiment analysis, language translation, language modeling, text generation, and dialogue systems.

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Auto-complete Python Machine Learning Deep Learning 130

AWS Machine Learning Blog

AUGUST 8, 2023

In cases where the MME receives many invocation requests, and additional instances (or an auto-scaling policy) are in place, SageMaker routes some requests to other instances in the inference cluster to accommodate for the high traffic. These labels include 1,000 class labels from the ImageNet dataset. !

BERT 98

BERT Deep Learning Auto-classification Python 98