AWS Machine Learning Blog

DECEMBER 12, 2024

The new SDK is designed with a tiered user experience in mind, where the new lower-level SDK ( SageMaker Core ) provides access to full breadth of SageMaker features and configurations, allowing for greater flexibility and control for ML engineers. This is usually achieved by providing the right set of parameters when using an Estimator.

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ML Python Data Scientist Natural Language Processing 97

Unite.AI

APRIL 6, 2025

Wendys AI-Powered Drive-Thru System (FreshAI) FreshAI uses advanced natural language processing (NLP) , machine learning (ML) , and generative AI to optimize the fast-food ordering experience. The AI can process multiple customer requests in parallel, reducing bottlenecks during peak hours.

Automation 179

Automation AI AI Neural Network 179

Marktechpost

NOVEMBER 19, 2024

Despite advances in image and text-based AI research, the audio domain lags due to the absence of comprehensive datasets comparable to those available for computer vision or natural language processing. Don’t Forget to join our 55k+ ML SubReddit. Check out the Details and Dataset on Hugging Face.

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Metadata Machine Learning Natural Language Processing Computer Vision 111

BAIR

MARCH 11, 2024

Their work at BAIR, ranging from deep learning, robotics, and natural language processing to computer vision, security, and much more, has contributed significantly to their fields and has had transformative impacts on society. Currently, I am working on Large Language Model (LLM) based autonomous agents.

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Robotics Machine Learning Natural Language Processing Deep Learning 340

Marktechpost

AUGUST 3, 2024

The researchers control parameters and FLOPs for both network types, evaluating their performance across diverse domains, including symbolic formula representation, machine learning, computer vision, natural language processing, and audio processing. If you like our work, you will love our newsletter.

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Computer Vision Machine Learning NLP Neural Network 120

Marktechpost

JUNE 21, 2024

Natural language processing (NLP) is a clear example of this tendency since more sophisticated models demonstrate adaptability by learning new tasks and domains from scratch with only basic instructions. The success of natural language processing inspires a similar strategy in computer vision.

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Computer Vision Natural Language Processing NLP ML 117

Marktechpost

NOVEMBER 22, 2023

Natural language processing (NLP) is a good example of this tendency since sophisticated models demonstrate flexibility with thorough knowledge covering several domains and tasks with straightforward instructions. The popularity of NLP encourages a complementary strategy in computer vision. Check out the Paper.

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Computer Vision Natural Language Processing NLP Large Language Models 131

AI Weekly

JULY 13, 2023

psychologytoday.com Decoding How Spotify Recommends Music to Users Machine learning (ML) and artificial intelligence (AI) have revolutionized the music streaming industry by enhancing the user experience, improving content discovery, and enabling personalized recommendations. [Try Pluto for free today] pluto.fi AlphaGO was.

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Neural Network Robotics ChatGPT Computer Vision 242

Flipboard

JANUARY 6, 2025

The federal government agency Precise worked with needed to automate manual processes for document intake and image processing. The agency wanted to use AI [artificial intelligence] and ML to automate document digitization, and it also needed help understanding each document it digitizes, says Duan.

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ML Machine Learning Automation Natural Language Processing 65

AWS Machine Learning Blog

MARCH 17, 2025

Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on.

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LLM Natural Language Processing ML Computer Vision 113

Flipboard

DECEMBER 3, 2024

As a global leader in agriculture, Syngenta has led the charge in using data science and machine learning (ML) to elevate customer experiences with an unwavering commitment to innovation. Victor Antonino , M.Eng, is a Senior Machine Learning Engineer at AWS with over a decade of experience in generative AI, computer vision, and MLOps.

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Generative AI Metadata Machine Learning Natural Language Processing 149

Flipboard

APRIL 17, 2025

The Salesforce AI Model Serving team is working to push the boundaries of natural language processing and AI capabilities for enterprise applications. They accomplish this through evaluation of ML models across multiple environments and extensive performance testing to achieve scalability and reliability for inferencing on AWS.

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Large Language Models Deep Learning Machine Learning AI 137

Unite.AI

AUGUST 2, 2023

To overcome the challenge presented by single modality models & algorithms, Meta AI released the data2vec, an algorithm that uses the same learning methodology for either computer vision , NLP or speech. For example, there are vocabulary of speech units in speech processing that can define a self-supervised learning task in NLP.

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Computer Vision Algorithm Natural Language Processing Convolutional Neural Networks 246

Unite.AI

SEPTEMBER 15, 2023

Artificial Intelligence and Machine Learning Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing various domains such as natural language processing , computer vision , speech recognition , recommendation systems, and self-driving cars.

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Marktechpost

JANUARY 18, 2025

Vision-language models (VLMs) represent an advanced field within artificial intelligence, integrating computer vision and natural language processing to handle multimodal data. Dont Forget to join our 65k+ ML SubReddit. All credit for this research goes to the researchers of this project.

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Computer Vision Natural Language Processing Artificial Intelligence Artificial Intelligence 82

Viso.ai

DECEMBER 20, 2023

In the field of computer vision, supervised learning and unsupervised learning are two of the most important concepts. In this guide, we will explore the differences and when to use supervised or unsupervised learning for computer vision tasks. We will also discuss which approach is best for specific applications.

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Computer Vision Machine Learning Neural Network Algorithm 98

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

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Machine Learning Neural Network Algorithm Computer Vision 230

Unite.AI

AUGUST 28, 2023

AI can receive and process a wide range of information thanks to a combination of sophisticated sensory devices and computer vision. An improved outcome is produced by enhancing the data with machine learning (ML) and natural language processing (NLP).

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Computer Vision Natural Language Processing Machine Learning AI 244

Unite.AI

JULY 11, 2023

What is Generative Artificial Intelligence, how it works, what its applications are, and how it differs from standard machine learning (ML) techniques. Training and deploying these models on Vertex AI – a fully managed ML platform by Google. Understand how the attention mechanism is applied to ML models.

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Generative AI BERT Natural Language Processing Large Language Models 189

AWS Machine Learning Blog

JUNE 9, 2023

ONNX provides tools for optimizing and quantizing models to reduce the memory and compute needed to run machine learning (ML) models. One of the biggest benefits of ONNX is that it provides a standardized format for representing and exchanging ML models between different frameworks and tools.

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ML Computer Vision NLP Deep Learning 120

AWS Machine Learning Blog

MARCH 5, 2025

She has expertise in Machine Learning, covering natural language processing, computer vision, and time-series analysis. In addition, he builds and deploys AI/ML models on the AWS Cloud. Given that were fine-tuning a pretrained Chronos model, we use only a small set of synthetically generated data.

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LLM Machine Learning Natural Language Processing Computer Vision 112

Marktechpost

JANUARY 14, 2024

Developing large-scale datasets has been critical in computer vision and natural language processing. Its primary focus is to enhance the capabilities of computer vision and natural language processing models, specifically in e-commerce. Check out the Paper.

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Computer Vision Natural Language Processing Machine Learning Algorithm 124

Unite.AI

NOVEMBER 6, 2023

Moreover, Multimodal AI techniques have emerged, capable of processing multiple data modalities, i.e., text, images, audio, and videos simultaneously. With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? What is Traditional Machine Learning?

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Machine Learning Neural Network Deep Learning Convolutional Neural Networks 201

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. This approach has demonstrated effectiveness in natural language processing and reinforcement learning.

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Computer Vision Natural Language Processing Neural Network Categorization 128

AWS Machine Learning Blog

JANUARY 29, 2025

Raj specializes in Machine Learning with applications in Generative AI, Natural Language Processing, Intelligent Document Processing, and MLOps. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value.

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Auto-complete Generative AI Data Scientist ML 131

Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It includes labs on feature engineering with BigQuery ML, Keras, and TensorFlow.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

Marktechpost

JANUARY 30, 2025

Contrastingly, agentic systems incorporate machine learning (ML) and artificial intelligence (AI) methodologies that allow them to adapt, learn from experience, and navigate uncertain environments. Natural Language Processing (NLP): Text data and voice inputs are transformed into tokens using tools like spaCy.

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Robotics Convolutional Neural Networks Large Language Models AI 113

Viso.ai

NOVEMBER 30, 2024

Edge Intelligence or Edge AI moves AI computing from the cloud to edge devices, where data is generated. This is a key to building distributed and scalable AI systems in resource-intensive applications such as Computer Vision. In this article, we discuss the following topics: What is Edge Computing, and why do we need it?

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ML Deep Learning Computer Vision Artificial Intelligence 96

AWS Machine Learning Blog

AUGUST 12, 2024

Instead, organizations are increasingly looking to take advantage of transformative technologies like machine learning (ML) and artificial intelligence (AI) to deliver innovative products, improve outcomes, and gain operational efficiencies at scale. Data is presented to the personas that need access using a unified interface.

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ML Data Quality AI AI 122

Flipboard

FEBRUARY 10, 2025

In this post, we dive into how organizations can use Amazon SageMaker AI , a fully managed service that allows you to build, train, and deploy ML models at scale, and can build AI agents using CrewAI, a popular agentic framework and open source models like DeepSeek-R1. Pranav Murthy is an AI/ML Specialist Solutions Architect at AWS.

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LLM AI AI Python 161

Marktechpost

JULY 31, 2024

Learning TensorFlow enables you to create sophisticated neural networks for tasks like image recognition, natural language processing, and predictive analytics. Natural Language Processing in TensorFlow This course focuses on building natural language processing systems using TensorFlow.

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Neural Network Auto-classification Natural Language Processing Deep Learning 106

Marktechpost

JULY 24, 2024

Addressing this challenge, researchers from Eindhoven University of Technology have introduced a novel method that leverages the power of pre-trained Transformer models, a proven success in various domains such as Computer Vision and Natural Language Processing. If you like our work, you will love our newsletter.

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Machine Learning ML Natural Language Processing Computer Vision 107

AWS Machine Learning Blog

MAY 31, 2023

PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. PyTorch supports dynamic computational graphs, enabling network behavior to be changed at runtime. She is passionate about innovation and inclusion.

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ML Auto-classification Auto-complete Natural Language Processing 115

AWS Machine Learning Blog

SEPTEMBER 23, 2024

Machine learning (ML) projects are inherently complex, involving multiple intricate steps—from data collection and preprocessing to model building, deployment, and maintenance. You can use this natural language assistant from your SageMaker Studio notebook to get personalized assistance using natural language.

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ML Computer Vision Data Scientist Machine Learning 89

AWS Machine Learning Blog

NOVEMBER 25, 2024

You can now use state-of-the-art model architectures, such as language models, computer vision models, and more, without having to build them from scratch. From preparing data to building, training, and deploying models, SageMaker Studio provides purpose-built tools to streamline the entire process.

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Python Software Development Deep Learning ML 101

Marktechpost

MARCH 26, 2024

The transformer architecture has improved natural language processing, with recent advancements achieved through scaling efforts from millions to billion-parameter models. However, larger models’ increased computational cost and memory footprint limit their practicality, benefiting only a few major corporations.

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Convolutional Neural Networks Natural Language Processing Computer Vision Neural Network 129

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. SageMaker Studio set up.

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ML Data Ingestion Python Machine Learning 124