Dataconomy

OCTOBER 9, 2023

Artificial Intelligence (AI) – a term that once felt like a page out of a science fiction novel is now a tangible reality, deeply ingrained in our everyday lives. Conclusion As we navigate the digital age, the influence of Artificial Intelligence on education is undeniable and transformative.

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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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Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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Dataconomy

FEBRUARY 6, 2024

Artificial intelligence and machine learning are no longer the elements of science fiction; they’re the realities of today. Besides, natural language processing (NLP) allows users to gain data insight in a conversational manner, such as through ChatGPT, making data even more accessible.

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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. Generative AI refers to Artificial Intelligence systems capable of creating new contentsuch as text or imagesbased on input prompts from users.

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Smart Data Collective

JUNE 4, 2021

It is a branch of artificial intelligence. 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).

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Smart Data Collective

JANUARY 13, 2022

The marketing profession has been fundamentally changed due to advances in artificial intelligence and big data. Artificial intelligence and machine learning tools have advanced over the years. They can accomplish much more complex functionalities than simple computer algorithms are capable of.

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Becoming Human

JUNE 14, 2023

Introduction: In today’s fast-paced business world, Artificial Intelligence (AI) is becoming increasingly important in helping companies stay competitive. One area in which Google has made significant progress is in natural language processing (NLP), which involves understanding and interpreting human language.

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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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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

DECEMBER 20, 2023

Artificial intelligence (AI) is a transformative force. The automation of tasks that traditionally relied on human intelligence has far-reaching implications, creating new opportunities for innovation and enabling businesses to reinvent their operations. What is an AI strategy?

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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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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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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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Pickl AI

OCTOBER 3, 2024

Summary: Artificial Intelligence Models as a Service (AIMaaS) provides cloud-based access to scalable, customizable AI models. Introduction to AIMaaS Artificial Intelligence Models as a Service (AIMaaS) represents a transformative approach in the deployment of AI technologies.

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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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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. Introduction The landscape of Artificial Intelligence (AI) is rapidly evolving, with language models playing a pivotal role in this transformation.

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ODSC - Open Data Science

DECEMBER 1, 2023

Work with Generative Artificial Intelligence (AI) Models in Azure Machine Learning The purpose of this course is to give you hands-on practice with Generative AI models. You’ll explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning.

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Pickl AI

SEPTEMBER 3, 2024

Introduction Artificial Neural Network (ANNs) have emerged as a cornerstone of Artificial Intelligence and Machine Learning , revolutionising how computers process information and learn from data. Solution: Leveraging cloud computing and GPU acceleration can help expedite the training process.

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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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DataSeries

MARCH 1, 2023

link] ChatGPT is making Star Trek predictions come true ChatGPT is a unique artificial intelligence (AI) technology that is making Star Trek predictions come true. Developed by OpenAI, ChatGPT is a natural language processing (NLP) model that can generate human-like conversations. What exactly is ChatGPT?

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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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Pickl AI

JANUARY 13, 2025

Introduction The field of Artificial Intelligence (AI) is rapidly evolving, and with it, the job market in India is witnessing a seismic shift. Top 10 AI Jobs in India The field of Artificial Intelligence (AI) continues to expand, creating a variety of job opportunities. million by 2027.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

The rise of generative artificial intelligence (AI) has brought an inflection of foundation models (FMs). Legal professionals often spend a significant portion of their work searching through and analyzing large documents to draw insights, prepare arguments, create drafts, and compare documents.

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ODSC - Open Data Science

MAY 25, 2023

Pieter Abbeel, PhD Director, Co-Director | Berkeley Robot Learning Lab, Berkeley Artificial Intelligence (BAIR) Lab Professor Abbeel’s research strives to build ever more intelligent systems, which has his lab push the frontiers of deep reinforcement learning, and deep unsupervised learning, especially as it pertains to robotics.

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ODSC - Open Data Science

OCTOBER 11, 2024

With an increased adoption rate in tools like AI, big data, and cloud computing, this will create an estimated 97 million new jobs. Artificial intelligence is helping businesses identify skill gaps quickly in their workforce, pinpointing where their current abilities fall short. However, finding them takes time.

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Pickl AI

SEPTEMBER 11, 2024

Unlike a bachelor’s program, which provides a broad overview, a master’s program delves deep into specific areas such as predictive analytics, natural language processing, or Artificial Intelligence. This makes it an excellent choice for individuals transitioning into Data Science and Artificial Intelligence.

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Heartbeat

DECEMBER 5, 2023

These improvements have enabled it to quickly become the hardware of choice for researchers working on artificial intelligence (AI) projects, such as LLMs. Third-generation Tensor Cores have accelerated AI tasks, leading to breakthroughs in image recognition, natural language processing, and speech recognition.

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Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Data + GenAI: a transformative pair Garter's 2023 Hype Cycle for Artificial Intelligence positions generative AI as an enterprise game-changer.

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Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Data + GenAI: a transformative pair Garter's 2023 Hype Cycle for Artificial Intelligence positions generative AI as an enterprise game-changer.

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Snorkel AI

AUGUST 24, 2023

Natural language processing to extract key information quickly. However, banks may encounter roadblocks when integrating AI into their complaint-handling process. Data + GenAI: a transformative pair Garter's 2023 Hype Cycle for Artificial Intelligence positions generative AI as an enterprise game-changer.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

By seamlessly integrating these components, we enabled high-quality, context-specific response generation, enhancing the Llama 3 model’s performance across natural language processing tasks. To explore this solution and embark on your context-aware language generation journey, visit the notebook in the GitHub repository.

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Pickl AI

NOVEMBER 13, 2024

Machine Learning is a subset of Artificial Intelligence (AI) that focuses on developing algorithms that allow computers to learn from and make predictions based on data. Resource Allocation : Optimising the allocation of resources in industries such as telecommunications or cloud computing.

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Pickl AI

AUGUST 1, 2024

This blog covers their job roles, essential tools and frameworks, diverse applications, challenges faced in the field, and future directions, highlighting their critical contributions to the advancement of Artificial Intelligence and machine learning. How Does Deep Learning Differ from Traditional Machine Learning?

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How to Learn Machine Learning

JUNE 21, 2024

To prevent these challenges, businesses are using artificial intelligence (AI)-driven software testing. It also explores artificial intelligence in software testing and its impact on the software development lifecycle (SDLC). This is causing risks in software reliability and performance.

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AWS Machine Learning Blog

DECEMBER 13, 2023

Romina Sharifpour is a Senior Machine Learning and Artificial Intelligence Solutions Architect at Amazon Web Services (AWS). Romina’s areas of interest are natural language processing, large language models, and MLOps. As an AI professional, he is an active member of the AWS AI/ML Area-of-Depth team.

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