Dataconomy

MAY 29, 2023

In the field of AI and ML, QR codes are incredibly helpful for improving predictive analytics and gaining insightful knowledge from massive data sets. QR codes have become an effective tool for businesses to engage customers, gather data, enhance security measures, and streamline various processes.

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Analytics Vidhya

APRIL 19, 2023

OpenAI, the tech startup known for developing the cutting-edge natural language processing algorithm ChatGPT, has warned that the research strategy that led to the development of the AI model has reached its limits.

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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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Flipboard

MAY 28, 2025

Machine learning (ML) has emerged as a powerful tool to help nonprofits expedite manual processes, quickly unlock insights from data, and accelerate mission outcomesfrom personalizing marketing materials for donors to predicting member churn and donation patterns.

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Data Science Dojo

FEBRUARY 13, 2025

Machine Learning & AI Applications Discover the latest advancements in AI-driven automation, natural language processing (NLP), and computer vision. Machine Learning & Deep Learning Advances Gain insights into the latest ML models, neural networks, and generative AI applications.

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Flipboard

JUNE 17, 2025

Large language models (LLMs) have transformed natural language processing (NLP), yet converting conversational queries into structured data analysis remains complex. Amazon Bedrock Knowledge Bases enables direct natural language interactions with structured data sources.

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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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KDnuggets

APRIL 24, 2023

The impact is proved by the comparison of the ML algorithm on starting and cleaning the dataset. The article shows effective coding procedures for fixing noisy labels in text data that improve the performance of any NLP model.

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Dataconomy

MARCH 17, 2025

By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. Augmented analytics is the integration of ML and NLP technologies aimed at automating several aspects of data preparation and analysis.

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Flipboard

APRIL 23, 2025

The integration of modern natural language processing (NLP) and LLM technologies enhances metadata accuracy, enabling more precise search functionality and streamlined document management. In addition, he builds and deploys AI/ML models on the AWS Cloud. He integrates cloud services into aerospace applications.

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Dataconomy

MAY 9, 2025

This service model eliminates the need for significant upfront investments in infrastructure and expertise, allowing companies to leverage AI technologies such as Natural Language Processing and Computer Vision without the complexities of traditional development processes.

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Dataconomy

SEPTEMBER 29, 2023

Artificial intelligence (AI) and machine learning (ML) have revolutionized several sectors, including startups. Entrepreneurs have adopted AI and ML as technology advances to gain a competitive advantage, improve operational efficiency and drive innovation. Featured image credit: Freepik/Rawpixel.com

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Data Science Dojo

SEPTEMBER 10, 2024

LLM companies are businesses that specialize in developing and deploying Large Language Models (LLMs) and advanced machine learning (ML) models. It has also risen as a dominant player in the LLM space, leading the changes within the landscape of natural language processing and AI-driven solutions.

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Flipboard

MAY 15, 2025

Qualtrics harnesses the power of generative AI, cutting-edge machine learning (ML), and the latest in natural language processing (NLP) to provide new purpose-built capabilities that are precision-engineered for experience management (XM). Qualtrics refers to it internally as the Socrates platform.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. Both models support a context window of 32,000 tokens, which is roughly 50 pages of text.

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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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Flipboard

OCTOBER 25, 2023

However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data. It can analyze text in multiple languages, detect entities, extract key phrases, determine sentiment, and more.

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Data Science Dojo

MARCH 8, 2024

Vector databases: They are useful for complex and multimodal datasets, often associated with complex machine learning (ML) tasks. Some important use cases include natural language processing (NLP), fraud detection, recommendation systems, and real-time personalization.

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Data Science Dojo

MARCH 31, 2023

Artificial intelligence (AI), machine learning (ML), and data science have become some of the most significant topics of discussion in today’s technological era. Meanwhile, Francesca, a principal data scientist manager at Microsoft, leads teams of data scientists and ML scientists, working on internal problems at Microsoft.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

By offering real-time translations into multiple languages, viewers from around the world can engage with live content as if it were delivered in their first language. In addition, the extension’s capabilities extend beyond mere transcription and translation. Chiara Relandini is an Associate Solutions Architect at AWS.

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Dataconomy

MARCH 19, 2025

By harnessing machine learning, natural language processing, and deep learning, Google AI enhances various products and services, making them smarter and more user-friendly. Natural language processing: Enhancing the ability to understand and generate human language.

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Dataconomy

MARCH 17, 2025

These agents represent a significant advancement over traditional systems by employing machine learning and natural language processing to understand and respond to user inquiries. Machine learning (ML): Allows continuous improvement through data analysis.

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Data Science Dojo

FEBRUARY 23, 2024

These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. It uses machine learning and natural language processing for automation and enhancement of data analytical processes. What is OpenAI’s GPT Store?

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Dataconomy

JULY 4, 2023

Hyper automation, which uses cutting-edge technologies like AI and ML, can help you automate even the most complex tasks. It’s also about using AI and ML to gain insights into your data and make better decisions. ML algorithms enable systems to identify patterns, make predictions, and take autonomous actions.

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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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Flipboard

FEBRUARY 11, 2025

This solution ingests and processes data from hundreds of thousands of support tickets, escalation notices, public AWS documentation, re:Post articles, and AWS blog posts. By using Amazon Q Business, which simplifies the complexity of developing and managing ML infrastructure and models, the team rapidly deployed their chat solution.

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Flipboard

JUNE 5, 2025

As organizations look to incorporate AI capabilities into their applications, large language models (LLMs) have emerged as powerful tools for natural language processing tasks. Lets say you are able to successfully serve 10 requests users in parallel with one ML instance.

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Data Science Dojo

OCTOBER 31, 2024

For instance, Berkeley’s Division of Data Science and Information points out that entry level data science jobs remote in healthcare involves skills in NLP (Natural Language Processing) for patient and genomic data analysis, whereas remote data science jobs in finance leans more on skills in risk modeling and quantitative analysis.

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Data Science Dojo

JUNE 1, 2023

Machine Learning for Natural Language Processing by Christopher Manning, Jurafsky and Schütze This is an advanced-level course that teaches you how to use machine learning for natural language processing tasks. The course covers topics such as data wrangling, feature engineering, and model selection.

Machine Learning 195

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Dataconomy

MARCH 5, 2025

Artificial intelligence and machine learning AI and ML technologies play a critical role in enhancing automation capabilities. Applications such as natural language processing (NLP) and chatbots further extend the capabilities of hyperautomation.

Machine Learning 91

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Data Science Dojo

NOVEMBER 10, 2023

With the help of artificial intelligence (AI) and machine learning (ML), data scientists are able to extract valuable insights from this data to inform decision-making and drive business success. Uses of generative AI for data scientists Generative AI can help data scientists with their projects in a number of ways.

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Dataconomy

FEBRUARY 26, 2024

GPUs: The versatile powerhouses Graphics Processing Units, or GPUs, have transcended their initial design purpose of rendering video game graphics to become key elements of Artificial Intelligence (AI) and Machine Learning (ML) efforts.

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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. Generative AI is reshaping businesses and unlocking new opportunities across various industries. What corn hybrids do you suggest for my field?”.

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Data Science Dojo

JULY 26, 2023

AI’s remarkable language capabilities, driven by advancements in Natural Language Processing (NLP) and Large Language Models (LLMs) like ChatGPT from OpenAI, have contributed to its popularity. In 2023, Artificial Intelligence (AI) is a hot topic, captivating millions of people worldwide.

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Dataconomy

APRIL 30, 2025

This innovation leverages several technologies such as optical character recognition (OCR), natural language processing (NLP), and machine learning to streamline document-centric processes.

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AWS Machine Learning Blog

APRIL 4, 2025

They use real-time data and machine learning (ML) to offer customized loans that fuel sustainable growth and solve the challenges of accessing capital. To achieve this, Lumi developed a classification model based on BERT (Bidirectional Encoder Representations from Transformers) , a state-of-the-art natural language processing (NLP) technique.

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AWS Machine Learning Blog

OCTOBER 18, 2024

Business challenge Today, many developers use AI and machine learning (ML) models to tackle a variety of business cases, from smart identification and natural language processing (NLP) to AI assistants. Kanwaljit Khurmi is a Principal Generative AI/ML Solutions Architect at Amazon Web Services.

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