Defined.ai blog

SEPTEMBER 21, 2023

That’s the power of Natural Language Processing (NLP) at work. In this exploration, we’ll journey deep into some Natural Language Processing examples , as well as uncover the mechanics of how machines interpret and generate human language. What is Natural Language Processing?

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Pickl AI

MARCH 27, 2023

Well, it’s Natural Language Processing which equips the machines to work like a human. But there is much more to NLP, and in this blog, we are going to dig deeper into the key aspects of NLP, the benefits of NLP and Natural Language Processing examples. What is NLP? However, the road is not so smooth.

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Mlearning.ai

JANUARY 26, 2023

Introduction Natural language processing (NLP) sentiment analysis is a powerful tool for understanding people’s opinions and feelings toward specific topics. NLP sentiment analysis uses natural language processing (NLP) to identify, extract, and analyze sentiment from text data.

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Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

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Analytics Vidhya

DECEMBER 30, 2022

Introduction Natural language processing (NLP) is a field of computer science and artificial intelligence that focuses on the interaction between computers and human (natural) languages. Natural language processing (NLP) is […].

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Heartbeat

SEPTEMBER 20, 2023

Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. Various algorithms are employed in image captioning, including: 1. These algorithms can learn and extract intricate features from input images by using convolutional layers.

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KDnuggets

FEBRUARY 21, 2022

A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.

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Analytics Vidhya

MARCH 15, 2023

Introduction DocVQA (Document Visual Question Answering) is a research field in computer vision and natural language processing that focuses on developing algorithms to answer questions related to the content of a document, like a scanned document or an image of a text document.

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Analytics Vidhya

FEBRUARY 25, 2023

This has achieved great success in many fields, like computer vision tasks and natural language processing. Introduction In recent years, the evolution of technology has increased tremendously, and nowadays, deep learning is widely used in many domains.

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Analytics Vidhya

MAY 25, 2023

These professionals are responsible for the design and development of AI systems, including machine learning algorithms, computer vision, natural language processing, and robotics. Their work has led to breakthroughs in various fields, such […] The post The Ultimate AI Engineer Salary Guide Revealed!

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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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Analytics Vidhya

JUNE 18, 2023

Introduction Resume parsing, a valuable tool used in real-life scenarios to simplify and streamline the hiring process, has become essential for busy hiring managers and human resources professionals.

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Heartbeat

MARCH 22, 2023

Learn NLP data processing operations with NLTK, visualize data with Kangas , build a spam classifier, and track it with Comet Machine Learning Platform Photo by Stephen Phillips — Hostreviews.co.uk on Unsplash At its core, the discipline of Natural Language Processing (NLP) tries to make the human language “palatable” to computers.

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Data Science Dojo

JANUARY 21, 2024

Hence, AI has the potential to revolutionize the eDiscovery process, particularly in document review, by automating tasks, increasing efficiency, and reducing costs. The Role of AI in eDiscovery AI is a broad term that encompasses various technologies, including machine learning, natural language processing, and cognitive computing.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and Machine Learning algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Machine learning algorithms Machine learning is a subset of AI. You must have heard the name GPT if you are interested in text processing.

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Dataconomy

MARCH 27, 2024

This advancement in Natural Language Processing (NLP) allows AI to collaborate more effectively with humans. This advancement marks a significant leap forward for AI networks, demonstrating the immense possibilities offered by integrating natural language processing (NLP) into AI technology.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. Specifically, the paraphrasing of text with the help of AI.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. Specifically, the paraphrasing of text with the help of AI.

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Analytics Vidhya

NOVEMBER 19, 2019

Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision. The post A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone appeared first on Analytics Vidhya.

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Analytics Vidhya

JANUARY 17, 2022

Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” This article was published as a part of the Data Science Blogathon. ” Then I began to write a brief response.

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Flipboard

MAY 21, 2023

In recent times, Large Language Models (LLMs) have evolved and transformed Natural Language Processing with their few-shot prompting techniques. …

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Analytics Vidhya

FEBRUARY 4, 2023

One of the most promising areas within AI in healthcare is Natural Language Processing (NLP), which has the potential to revolutionize patient care by facilitating more efficient and accurate data analysis and communication.

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Analytics Vidhya

AUGUST 2, 2022

Introduction Natural Language Processing (NLP) can help you to understand any text’s sentiments. This article was published as a part of the Data Science Blogathon. This is helpful for people to understand the emotions and the type of text they are looking over. Negative and Positive comments can be easily differentiated.

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Analytics Vidhya

MARCH 8, 2022

Introduction Machine Learning (ML) is reaching its own and growing recognition that ML can play a crucial role in critical applications, it includes data mining, natural language processing, image recognition. ML provides all possible keys in all these fields and more, and it set […].

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Google Research AI blog

AUGUST 24, 2023

As a result, despite significant progress in a variety of natural language processing tasks, performance on simple arithmetic tasks like addition has remained a challenge. Finally, we demonstrate that a model can reliably execute algorithms on out-of-distribution examples with an appropriate choice of prompting strategy.

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Data Science Connect

JULY 17, 2023

Recent developments in AI models are leveraging vast amounts of chat data to enhance natural language processing and improve conversational abilities. Advancements in Natural Language Processing (NLP) Natural Language Processing is at the core of AI models’ ability to understand and generate human-like text.

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Dataconomy

MAY 30, 2023

Amazon Go stores are cashierless supermarkets that utilize a combination of computer vision, sensor fusion, and deep learning algorithms to enable a seamless shopping experience. Guaranteeing the security and reliability of underlying technologies, algorithms, and decision-making processes emerges as an imperative.

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Data Science Dojo

JULY 2, 2023

Over the past few years, a shift has shifted from Natural Language Processing (NLP) to the emergence of Large Language Models (LLMs). By analyzing diverse data sources and incorporating advanced machine learning algorithms, LLMs enable more informed decision-making, minimizing potential risks.

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Data Science Dojo

NOVEMBER 3, 2023

This blog lists several YouTube channels that can help you get started with llms, generative AI, prompt engineering, and more. Large language models, like GPT-3.5, have revolutionized the field of natural language processing.

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Data Science Dojo

NOVEMBER 3, 2023

Large language models, like GPT-3.5, have revolutionized the field of natural language processing. These models are at the forefront of advancements in artificial intelligence and natural language processing.

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Dataconomy

SEPTEMBER 29, 2023

Businesses may cut costs, boost productivity and improve accuracy by automating specific processes. For example, an e-commerce business may utilize machine learning algorithms to optimize inventory management, lowering the risk of overstocking or stockouts.

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Data Science Dojo

JUNE 5, 2023

Understanding deepfake technology Deepfake technology utilizes Artificial Intelligence (AI) and machine learning algorithms to analyze and manipulate visual and audio data. The process involves training deep neural networks on vast amounts of data, such as images and videos, to learn patterns and recreate them in a realistic manner.

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Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. This process is known as training, and it relies on large amounts of labeled data. How Deep Learning Algorithms Work?

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Data Science Dojo

DECEMBER 14, 2023

It could explain how these distributions are used in different machine learning algorithms and why understanding them is crucial for data scientists. Applications of Natural Language Processing One of the essential things in the life of a human being is communication.

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Data Science Dojo

JUNE 16, 2023

These tools include natural language processing (NLP), image recognition, predictive analytics, and more. OpenAI’s NLP tools can help improve the user experience by providing personalized recommendations, chatbot functionality, and natural language search capabilities.

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Data Science Dojo

MARCH 8, 2024

Extensive testing and audits must safeguard against unfair biases lurking in data or algorithms. Custom AI software development demands meticulous processes grounded in ethics at each stage. AI algorithms are designed to detect patterns in data. If the training data contains biases, the algorithm will propagate them.

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Dataconomy

APRIL 25, 2023

The advantage of using rule-based systems is that they can provide a transparent and interpretable framework for decision-making, and they can be easier to maintain and update compared to other AI models that use more complex algorithms. Other approaches include machine learning, deep learning, and natural language processing.

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