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. Ian Thompson is a Data Engineer at Enterprise Knowledge, specializing in graph application development and data catalog solutions.

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Dataconomy

MARCH 17, 2025

Utilizing advanced voice technology and AI, Siri relies on methods such as Automatic Speech Recognition (ASR) and Natural Language Processing (NLP). Deep learning techniques have significantly improved how Siri processes and produces speech, ensuring a more natural interaction.

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Dataconomy

AUGUST 22, 2023

Smart slassrooms with AI-driven solutions Classrooms embedded with AI features, like facial recognition, natural language processing, and machine learning, are morphing into more interactive and student-friendly spaces. As we move ahead, expect these platforms to continually reshape the dynamics of teaching and learning.

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Dataconomy

JUNE 16, 2023

Any organization’s cybersecurity plan must include data loss prevention (DLP), especially in the age of cloud computing and software as a service (SaaS). The cloud DLP solution from Gamma AI has the highest data detection accuracy in the market and comes packed with ML-powered data classification profiles.

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Data Science Dojo

AUGUST 18, 2023

Transformers are a type of neural network that are well-suited for natural language processing tasks. They are able to learn long-range dependencies between words, which is essential for understanding the nuances of human language. They are typically trained on clusters of computers or even on cloud computing platforms.

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Dataversity

DECEMBER 16, 2020

Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis. Click here to learn more about Gilad David Maayan.

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Dataconomy

OCTOBER 9, 2023

The widespread proliferation of digital devices, coupled with advancements in Natural Language Processing (NLP) and cloud computing, has led to the development of more nuanced and complex AI applications. In the 21st century, the integration of AI in education has accelerated exponentially.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

In this post, we walk you through the process of integrating Amazon Q Business with FSx for Windows File Server to extract meaningful insights from your file system using natural language processing (NLP). Solutions Architect in WWPS team with 14+ years of experience.

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AWS Machine Learning Blog

OCTOBER 30, 2023

text = """Summarize this content - Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document. He got his master’s degree from Columbia University.

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Smart Data Collective

JUNE 4, 2021

Skills that are in high demand for data science positions are big data (spark), no sql (mongo db), and cloud computing. Popular options among cloud computing are amazon web services, google cloud, and Microsoft azure. Natural Language Processing (NLP). Use cases of data science.

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AWS Machine Learning Blog

JANUARY 30, 2025

The team developed an innovative solution to streamline grant proposal review and evaluation by using the natural language processing (NLP) capabilities of Amazon Bedrock. She drives strategic initiatives that leverage cloud computing for social impact worldwide.

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Analytics Vidhya

APRIL 6, 2023

It has been fueled by numerous factors, including advancements in computing technology and an increasing demand for automated systems. Artificial Intelligence (AI) has come a long way since its early days.

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Flipboard

FEBRUARY 11, 2025

The Process Data Lambda function redacts sensitive data through Amazon Comprehend. Amazon Comprehend provides real-time APIs, such as DetectPiiEntities and DetectEntities , which use natural language processing (NLP) machine learning (ML) models to identify text portions for redaction.

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Data Science Dojo

MAY 24, 2024

Natural Language Processing (NLP) NLP involves programming computers to process and analyze large amounts of natural language data. Tools like Matplotlib, Seaborn, or Tableau help in creating understandable and visually appealing representations of complex data sets and results.

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Dataconomy

JULY 6, 2023

To overcome these challenges in artificial intelligence, companies can leverage advancements in hardware technology, such as specialized AI chips and distributed computing systems. Cloud computing services also provide scalable and cost-effective solutions for accessing the necessary computational resources.

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Dataconomy

AUGUST 31, 2023

Google Cloud Next serves as a testament to Google’s ongoing efforts to maintain its success in the realm of cloud computing. The conference offered attendees keynote addresses delivered by Google Cloud executives, along with a range of breakout sessions, interactive labs, and chances for networking.

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Pickl AI

DECEMBER 26, 2024

Examples of foundation models include OpenAI’s GPT-3 and DALL-E, which have set benchmarks in natural language processing and image generation, respectively. How Does Cloud Computing Support Generative AI? They learn patterns from extensive datasets before being fine-tuned for specific tasks or industries.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

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Dataconomy

FEBRUARY 6, 2024

Besides, natural language processing (NLP) allows users to gain data insight in a conversational manner, such as through ChatGPT, making data even more accessible. Microsoft has reported a 27 percent increase in profit due to its focus on cloud computing and investments in artificial intelligence.

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Data Science Connect

JULY 28, 2023

Edge AI for Real-Time Decision-Making Edge AI brings AI processing capabilities to IoT devices at the network edge, reducing latency and empowering IoT devices to make real-time decisions without relying on cloud computing.

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The MLOps Blog

MARCH 23, 2023

The size of large NLP models is increasing | Source Such large natural language processing models require significant computational power and memory, which is often the leading cause of high infrastructure costs. Cloud computing services are flexible and can scale according to your requirements.

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Mlearning.ai

APRIL 19, 2023

In recent years, large language models (LLMs) have revolutionized the field of natural language processing (NLP). However, these models often require huge computational resources and proprietary datasets, raising concerns about accessibility and control.

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AWS Machine Learning Blog

MARCH 10, 2025

Amazon Bedrock Guardrails implements content filtering and safety checks as part of the query processing pipeline. Anthropic Claude LLM performs the natural language processing, generating responses that are then returned to the web application.

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Applied Data Science

AUGUST 2, 2021

They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

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Smart Data Collective

JANUARY 13, 2022

Search tools with Natural Language Processing (NLP) can bring the right solution with very little query effort. More users can be served just by spinning up more cloud computing servers. AI tools can identify the right solution from the knowledge base without the executive requiring to search through the database.

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Becoming Human

JUNE 14, 2023

One area in which Google has made significant progress is in natural language processing (NLP), which involves understanding and interpreting human language. Facebook has also made significant strides in Natural Language Processing (NLP) technology, which powers its AI-driven chatbots.

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IBM Journey to AI blog

NOVEMBER 13, 2023

Large-scale app deployment Heavily trafficked websites and cloud computing applications receive millions of user requests each day. A key advantage of using Kubernetes for large-scale cloud app deployment is autoscaling.

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Data Science Dojo

JULY 3, 2024

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Artificial Intelligence : Concepts of AI include neural networks, natural language processing (NLP), and reinforcement learning.

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IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. Software as a service (SaaS) applications have become a boon for enterprises looking to maximize network agility while minimizing costs.

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How to Learn Machine Learning

MAY 14, 2023

When selecting projects, consider tackling problems in different domains, such as natural language processing, computer vision, or recommendation systems. Some popular areas of specialization include natural language processing, computer vision, and reinforcement learning.

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Pickl AI

OCTOBER 9, 2024

Summary: Small Language Models (SLMs) are transforming the AI landscape by providing efficient, cost-effective solutions for Natural Language Processing tasks. What Are Small Language Models (SLMs)? Frequently Asked Questions What is a Small Language Model (SLM)?

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IBM Journey to AI blog

APRIL 26, 2024

Natural language processing (NLP) enables this capability. The billions of parameters processed make them so large. Hybrid cloud computing offers the best of both worlds. When smaller models fall short, the hybrid AI model could provide the option to access LLM in the public cloud.

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DataSeries

MARCH 1, 2023

Developed by OpenAI, ChatGPT is a natural language processing (NLP) model that can generate human-like conversations. ChatGPT is an AI-driven natural language processing (NLP) model that uses big data and generative pre-training (GPT) to learn how to generate natural language responses to user input.

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Heartbeat

DECEMBER 5, 2023

Third-generation Tensor Cores have accelerated AI tasks, leading to breakthroughs in image recognition, natural language processing, and speech recognition. Below, 8 different A100 hardware configurations are compared for the same Natural Language Processing (NLP) inference.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

Advancements in AI and natural language processing (NLP) show promise to help lawyers with their work, but the legal industry also has valid questions around the accuracy and costs of these new techniques, as well as how customer data will be kept private and secure.

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Pickl AI

SEPTEMBER 3, 2024

Here are some core responsibilities and applications of ANNs: Pattern Recognition ANNs excel in recognising patterns within data , making them ideal for tasks such as image recognition, speech recognition, and natural language processing. This process typically involves backpropagation and optimisation techniques.

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AWS Machine Learning Blog

APRIL 7, 2023

As an example, smart venue solutions can use near-real-time computer vision for crowd analytics over 5G networks, all while minimizing investment in on-premises hardware networking equipment. In our example, we use the Bidirectional Encoder Representations from Transformers (BERT) model, commonly used for natural language processing.

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