John Snow Labs

APRIL 29, 2025

Auditing and correcting auto-generated annotations , identifying hallucinations, omissions, or formatting inconsistencies. Ideal for creating domain-specific models for NER, relation extraction, de-identification, and classification. It also supports text classification, NER, audio transcription, and PDF annotation.

Auto-classification 52

Auto-classification AI Modeling NLP Generative AI 52

Unite.AI

APRIL 29, 2025

We have seen the commercial security operations center (SOC) platforms modernizing to different degrees, using massive high-quality data sets along with advanced AI/ML models to improve detection and classification of threats. Lastly, some have introduced copilot capabilities to further support triage and response.

Automation 130

Automation AI Automation Auto-classification Large Language Models 130

Marktechpost

JUNE 7, 2024

Audio classification has evolved significantly with the adoption of deep learning models. The primary challenge in audio classification is the computational complexity associated with transformers, particularly due to their self-attention mechanism, which scales quadratically with the sequence length.

Auto-classification 117

Auto-classification Convolutional Neural Networks Deep Learning Neural Network 117

AWS Machine Learning Blog

FEBRUARY 20, 2025

PAAS helps users classify exposure for commercial casualty insurance, including general liability, commercial auto, and workers compensation. PAAS offers a wide range of essential services, including more than 40,000 classification guides and more than 500 bulletins.

Generative AI 116

Generative AI LLM Auto-classification Categorization 116

Marktechpost

SEPTEMBER 12, 2024

Supervised learning in medical image classification faces challenges due to the scarcity of labeled data, as expert annotations are difficult to obtain. Researchers from Mohamed Bin Zayed University of AI and Inception Institute of AI propose MedUnA, a Medical Unsupervised Adaptation method for image classification.

Auto-classification 116

Auto-classification LLM ML AI 116

IBM Journey to AI blog

JANUARY 16, 2024

This situation triggered an auto-scaling rule set to activate at 80% CPU utilization. Due to the auto-scaling of the new EC2 instances, an additional t2.large Additionally, optimize VM sizing based on network traffic through auto-scaling. The rule provisions extra VMs to help ensure that the load on each VM remains below 60%.

Auto-classification 272

Auto-classification ESG DevOps Artificial Intelligence 272

AWS Machine Learning Blog

DECEMBER 5, 2023

The insurance provider receives payout claims from the beneficiary’s attorney for different insurance types, such as home, auto, and life insurance. Amazon Comprehend custom classification API is used to organize your documents into categories (classes) that you define. Custom classification is a two-step process.

Metadata 124

Metadata Auto-classification Auto-complete Content Enrichment 124

Marktechpost

FEBRUARY 22, 2025

Whether you’re working on product review classification, AI-driven recommendation systems, or domain-specific search engines, this method allows you to fine-tune large-scale models on a budget efficiently. Here is the Colab Notebook for the above project.

Auto-classification 45

Auto-classification Auto-complete NLP AI Researcher 45

Marktechpost

JULY 12, 2024

The first generation, exemplified by CLIP and ALIGN, expanded on large-scale classification pretraining by utilizing web-scale data without requiring extensive human labeling. These models used caption embeddings obtained from language encoders to broaden the vocabulary for classification and retrieval tasks.

Auto-classification 115

Auto-classification ML AI AI 115

Marktechpost

JULY 13, 2024

In an effort to track its advancement towards creating Artificial Intelligence (AI) that can surpass human performance, OpenAI has launched a new classification system. Level 5: Organizations The highest ranking level in OpenAI’s classification is Level 5, or “Organisations.”

OpenAI 110

OpenAI Auto-classification Conversational AI Categorization 110

AWS Machine Learning Blog

APRIL 16, 2025

Leave default settings for VPC , Subnet , and Auto-assign public IP. You can use these services to mount the same models and adapters across multiple instances, facilitating seamless access in environments with auto scaling setups. In Network settings , choose Edit , as shown in the following screenshot.

Auto-classification 103

Auto-classification LLM Generative AI Artificial Intelligence 103

Flipboard

JUNE 26, 2023

Overview of solution In this post, we go through the various steps to apply ML-based fuzzy matching to harmonize customer data across two different datasets for auto and property insurance. Run an AWS Glue ETL job to merge the raw property and auto insurance data into one dataset and catalog the merged dataset.

Auto-complete 123

Auto-complete ML Auto-classification ETL 123

PyImageSearch

FEBRUARY 6, 2023

Table of Contents Training a Custom Image Classification Network for OAK-D Configuring Your Development Environment Having Problems Configuring Your Development Environment? Furthermore, this tutorial aims to develop an image classification model that can learn to classify one of the 15 vegetables (e.g.,

Auto-classification 142

Auto-classification Computer Vision Neural Network Deep Learning 142

ODSC - Open Data Science

MARCH 17, 2023

At the end of the day, why not use an AutoML package (Automated Machine Learning) or an Auto-Forecasting tool and let it do the job for you? After implementing our changes, the demand classification pipeline reduces the overall error in our forecasting process by approx. 21% compared to the Auto-Forecasting one — quite impressive!

Machine Learning 98

Machine Learning Auto-classification Neural Network Deep Learning 98

Marktechpost

NOVEMBER 25, 2023

Such a representation makes many subsequent tasks, including those involving vision, classification, recognition and segmentation, and generation, easier. Therefore, encoders, decoders, and auto-encoders can all be implemented using a roughly identical crate design. Furthermore, the crate model exhibits many useful features.

Deep Learning 129

Deep Learning Auto-classification Auto-complete BERT 129

Marktechpost

JULY 31, 2024

Modules include building neural networks with Keras, computer vision, natural language processing, audio classification, and customizing models with lower-level TensorFlow code. It covers various aspects, from using larger datasets to preventing overfitting and moving beyond binary classification.

Neural Network 109

Neural Network Auto-classification Natural Language Processing Deep Learning 109

AWS Machine Learning Blog

APRIL 21, 2025

These benefits not only streamline the development process, but also lead to more efficient and effective AI applications, positioning auto-prompting as a promising advancement in the field. Users can observe the enhancements made by Prompt Optimization to improve the prompts performance for their specific task.

LLM 80

LLM Prompt Engineer Prompt Engineering NLP 80

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). Designed primarily for image recognition and classification, its ideal for prototyping and educational purposes.

Software Development 105

Software Development AI Tools DevOps Machine Learning 105

Flipboard

NOVEMBER 21, 2023

Our objective is to demonstrate the combined power of MATLAB and Amazon SageMaker using this fault classification example. Here, you use Auto Features , which quickly extracts a broad set of time and frequency domain features from the dataset and ranks the top candidates for model training. classifierModel = fitctree(.

Machine Learning 166

Machine Learning Auto-classification Python Algorithm 166

Marktechpost

DECEMBER 16, 2023

The X-Raydar achieved a mean AUC of 0.919 on the auto-labeled set, 0.864 on the consensus set, and 0.842 on the MIMIC-CXR test. For testing, a consensus set of 1,427 images annotated by expert radiologists, an auto-labeled set (n=103,328), and an independent dataset, MIMIC-CXR (n=252,374), were employed.

Neural Network 96

Neural Network Auto-classification NLP Natural Language Processing 96

AWS Machine Learning Blog

FEBRUARY 12, 2025

The brand might be willing to absorb the higher costs of using a more powerful and expensive FMs to achieve the highest-quality classifications, because misclassifications could lead to customer dissatisfaction and damage the brands reputation. Consider another use case of generating personalized product descriptions for an ecommerce site.

Auto-classification 99

Auto-classification Generative AI Metadata Machine Learning 99

Towards AI

JANUARY 28, 2024

One reason for rephrasing a regression problem into a classification problem could be that the user wants to focus on a specific price range and requires a model that can predict this range with high accuracy. Labeling The dataset contains continuous prices that are converted into categories with respect to the provided thresholds.

Auto-classification 115

Auto-classification AI AI Machine Learning 115

IBM Journey to AI blog

SEPTEMBER 5, 2024

Auto-constructed data lineage : Helps visualize the flow of data through systems without the need for complex hand-coded solutions. Auto-generated audit logs : Record data interactions to understand how employees use data. For example, a bank customer’s documents might have sensitive information, such as account numbers, hidden.

Metadata 188

Metadata Data Quality Auto-classification DevOps 188

AWS Machine Learning Blog

MARCH 15, 2024

Use case overview The use case outlined in this post is of heart disease data in different organizations, on which an ML model will run classification algorithms to predict heart disease in the patient. module.eks_blueprints_kubernetes_addons -auto-approve terraform destroy -target=module.m_fedml_edge_client_2.module.eks_blueprints_kubernetes_addons

Auto-complete 139

Auto-complete Auto-classification Machine Learning ML 139

Towards AI

NOVEMBER 10, 2024

Recently, I discovered a Python package called Outlines, which provides a versatile way to leverage Large Language Models (LLMs) for tasks like: Classification Named Entity Extraction Generate synthetic data Summarize a document … And… Play Chess (there are also 5 other uses). We can use Outlines to answer this question.

LLM 119

LLM Auto-classification Large Language Models Python 119

AWS Machine Learning Blog

APRIL 17, 2025

Based on this classification, it then decides whether to establish boundaries using visual-based shot sequences or audio-based conversation topics. The following example demonstrates a typical chapter-level analysis: [00:00:20;04 00:00:23;01] Automotive, Auto Type The video showcases a vintage urban street scene from the mid-20th century.

Automation 68

Automation Auto-complete Auto-classification Metadata 68

Towards AI

FEBRUARY 13, 2023

Hugging Face is a platform that provides pre-trained language models for NLP tasks such as text classification, sentiment analysis, and more. The NLP tasks we’ll cover are text classification, named entity recognition, question answering, and text generation. The pipeline we’re going to talk about now is zero-hit classification.

Auto-classification 98

Auto-classification NLP Auto-complete Computer Vision 98

Unite.AI

AUGUST 29, 2023

Furthermore, it was observed that when the developers used the interpolation augmentation method, there was a drop in model’s accuracy during quantization, but at the same time, there was also a boost in model’s inference speed, and classification generalization.

Neural Network 246

Neural Network ML Algorithm Auto-classification 246

Becoming Human

MARCH 16, 2023

A typical application of GNN is node classification. The problems that GNNs are used to solve can be divided into the following categories: Node Classification: The goal of this task is to determine the labeling of samples (represented as nodes) by examining the labels of their immediate neighbors (i.e., their neighbors’ labels).

Neural Network 87

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

Marktechpost

APRIL 25, 2025

tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME) model = AutoModelForCausalLM.from_pretrained( MODEL_NAME, torch_dtype=torch.float16, device_map="auto", low_cpu_mem_usage=True ) get_model_and_tokenizer.model = model get_model_and_tokenizer.tokenizer = tokenizer print("Model loaded successfully!") Chat-v1.0"

Auto-complete 80

Auto-complete Python Auto-classification AI 80

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. Deep Learning in Medical Imaging: Deep learning, particularly through CNNs, has significantly advanced computer vision in medical imaging.

Deep Learning 116

Deep Learning Auto-classification Computer Vision Data Mining 116

IBM Journey to AI blog

JULY 10, 2023

Existing sales and service engineers can use language-based generative AI to augment their skills and easily find contextual or industrial knowledge to help them deliver better customer experiences or solve problems faster.

Artificial Intelligence 159

Artificial Intelligence Artificial Intelligence Auto-classification Automation 159

Marktechpost

OCTOBER 8, 2023

By providing object instance-level classification and semantic labeling, 3D semantic instance segmentation tries to identify items in a given 3D scene represented by a point cloud or mesh. They use an auto-labeling approach to distinguish between known and unknowable class labels to produce pseudo-labels during training.

Auto-classification 124

Auto-classification Deep Learning Artificial Intelligence Artificial Intelligence 124

ODSC - Open Data Science

MAY 25, 2023

Here’s what you need to know: sktime is a Python package for time series tasks like forecasting, classification, and transformations with a familiar and user-friendly scikit-learn-like API. Build tuned auto-ML pipelines, with common interface to well-known libraries (scikit-learn, statsmodels, tsfresh, PyOD, fbprophet, and more!)

Machine Learning 98

Machine Learning Python Auto-classification Auto-complete 98

AWS Machine Learning Blog

MAY 3, 2023

But from an ML standpoint, both can be construed as binary classification models, and therefore could share many common steps from an ML workflow perspective, including model tuning and training, evaluation, interpretability, deployment, and inference. The final outcome is an auto scaling, robust, and dynamically monitored solution.

Auto-classification 103

Auto-classification Auto-complete Machine Learning Metadata 103

AWS Machine Learning Blog

NOVEMBER 14, 2024

Optionally, if Account A and Account B are part of the same AWS Organizations, and the resource sharing is enabled within AWS Organizations, then the resource sharing invitation are auto accepted without any manual intervention. It’s a binary classification problem where the goal is to predict whether a customer is a credit risk.

ML 106

ML Machine Learning Auto-complete Auto-classification 106

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. To mitigate the effects of the mistakes, the diversity of demonstrations matter.

Auto-classification 122

Auto-classification LLM Auto-complete Generative AI 122