insideBIGDATA

DECEMBER 22, 2023

In this contributed article, consultant and thought leader Richard Shan, believes that generative AI holds immense potential to transform information technology, offering innovative solutions for content generation, programming assistance, and natural language processing.

Natural Language Processing 434

Natural Language Processing AI AI Big Data 434

Analytics Vidhya

JUNE 19, 2023

Introduction In today’s challenging job market, individuals must gather reliable information to make informed career decisions. Glassdoor is a popular platform where employees anonymously share their experiences. However, the abundance of reviews can overwhelm job seekers.

Analytics 352

Analytics Analytics Natural Language Processing Python 352

Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. Learn more about NLP in this blog —-> Applications of Natural Language Processing The transformer has been so successful because it is able to learn long-range dependencies between words in a sentence.

Natural Language Processing 195

Natural Language Processing Decision Trees Deep Learning Deep Learning 195

Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. Learn more about NLP in this blog —-> Applications of Natural Language Processing The transformer has been so successful because it is able to learn long-range dependencies between words in a sentence.

Natural Language Processing 195

Natural Language Processing Decision Trees Deep Learning Deep Learning 195

Data Science Dojo

MARCH 28, 2024

Combining knowledge graphs (KGs) and LLMs produces a system that has access to a vast network of factual information and can understand complex language. They are a visual web of information that focuses on connecting factual data in a meaningful manner. What are large language models (LLMs)?

Natural Language Processing 195

Natural Language Processing Deep Learning Deep Learning Data Visualization 195

Analytics Vidhya

MAY 29, 2024

Introduction One of the most important tasks in natural language processing is text summarizing, which reduces long texts to brief summaries while maintaining important information.

Natural Language Processing 305

Natural Language Processing Deep Learning Deep Learning Analytics 305

Analytics Vidhya

OCTOBER 19, 2023

In a realm where language is an essential link between humanity and technology, the strides made in Natural Language Processing have unlocked some extraordinary heights. Within this progress lies the groundbreaking Large Language Model, a transformative force reshaping our interactions with text-based information.

Natural Language Processing 348

Natural Language Processing Analytics Analytics Deep Learning 348

Analytics Vidhya

MAY 20, 2024

Introduction Artificial intelligence has made tremendous strides in Natural Language Processing (NLP) by developing Large Language Models (LLMs). ” Hallucinations occur when an LLM generates plausible-sounding information but […] The post AI’s Biggest Flaw Hallucinations Finally Solved With KnowHalu! .”

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Natural Language Processing Artificial Intelligence Artificial Intelligence Analytics 318

Analytics Vidhya

MAY 27, 2024

Introduction Text summarization is an essential part of natural language processing (NLP) that tries to shorten enormous amounts of text and make more readable summaries while retaining crucial information.

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Natural Language Processing Analytics Analytics 317

Analytics Vidhya

FEBRUARY 8, 2022

Introduction Sentiment Analysis has been a very popular activity since the beginning of Natural Language Processing (NLP). It belongs to a subtask or application of text classification, identifying sentiments or subjective information from different texts. It means to analyze and find the emotion or intent […].

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Natural Language Processing Analytics Analytics 290

Analytics Vidhya

FEBRUARY 24, 2022

Dear readers, In this blog, we will build a Flask web app that can input any long piece of information such as a blog or news article and summarize it into just five lines! Text summarization is an NLP(Natural Language Processing) task. This article was published as a part of the Data Science Blogathon.

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Natural Language Processing Data Science Analytics Analytics 291

Analytics Vidhya

MARCH 17, 2025

Word embeddings for Indic languages like Hindi are crucial for advancing Natural Language Processing (NLP) tasks such as machine translation, question answering, and information retrieval. These embeddings capture semantic properties of words, enabling more accurate and context-aware NLP applications.

Natural Language Processing 125

Natural Language Processing Analytics Analytics AI 125

Data Science Dojo

DECEMBER 20, 2024

For tasks like classification and question-answering, F1-Score , Precision , and Recall ensure relevant information is captured with minimal errors. Natural Language Processing Applications : Develops and refines NLP applications, ensuring they can handle language tasks effectively, such as sentiment analysis and question answering.

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AI AI Data Analysis Data Analysis 418

Analytics Vidhya

JANUARY 31, 2022

Introduction Text Analysis is a way of extracting meaningful and useful information from unstructured textual data. It is very useful in various fields and is a rapidly growing domain in the field of Natural Language Processing(NLP). It’s basically aimed at extracting machine-readable information to […].

Natural Language Processing 270

Natural Language Processing Data Science Analytics Analytics 270

Analytics Vidhya

AUGUST 17, 2023

Introduction spaCy is a Python library for Natural Language Processing (NLP). Developers use it to create information extraction and natural language comprehension systems, as in Cython. NLP pipelines with spaCy are free and open source. Use the tool for production, boasting a concise and user-friendly API.

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Natural Language Processing Python Analytics Analytics 271

Towards AI

NOVEMBER 8, 2024

Automating Words: How GRUs Power the Future of Text Generation Isn’t it incredible how far language technology has come? Natural Language Processing, or NLP, used to be about just getting computers to follow basic commands. The reset gate helps the GRU forget irrelevant information that is no longer needed.

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Analytics Vidhya

JULY 8, 2024

Introduction Have you ever wondered how some AI systems seem to pull up just the right information and weave it into their answers as if they were chatting with an expert? That’s the magic of the Retrieval-Augmented Generation (RAG).

Natural Language Processing 245

Natural Language Processing Analytics Analytics AI 245

Analytics Vidhya

JUNE 8, 2022

Introduction Named Entity Recognition is a major task in Natural Language Processing (NLP) field. It is used to detect the entities in text for further use in the downstream tasks as some text/words are more informative and essential for a given context than others. […].

Natural Language Processing 271

Natural Language Processing Data Science Analytics Analytics 271

Data Science Dojo

JANUARY 30, 2025

Core Idea: Train the student model using two types of information from the teacher model: Hard Labels: These are the traditional outputs from a classification model that identify the correct class for an input. It is designed to handle natural language processing (NLP) tasks like chatbots and search engines with lower computational costs.

AI 195

AI AI Natural Language Processing Python 195

Data Science Dojo

SEPTEMBER 28, 2023

LlamaIndex is an orchestration framework for large language model (LLM) applications. LLMs like GPT-4 are pre-trained on massive public datasets, allowing for incredible natural language processing capabilities out of the box. Query engines:  Allow users to ask questions about their data in natural language.

Natural Language Processing 435

Natural Language Processing Database Data Science Analytics 435

Data Science Dojo

APRIL 26, 2023

The architecture of Chat GPT ChatGPT is a variant of transformer-based neural network architecture, introduced in a paper by the name “Attention is all you need” in 2017, transformer architecture was specifically designed for NLP (Natural Language Processing) tasks and prevails as one of the most used methods to date.

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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.

Natural Language Processing 369

Natural Language Processing Deep Learning Deep Learning Predictive Analytics 369

Data Science Dojo

FEBRUARY 18, 2023

In the 1990s, machine learning and neural networks emerged as popular techniques, leading to breakthroughs in areas such as speech recognition, natural language processing, and image recognition. It can also enable businesses to make more accurate and informed decisions by quickly analyzing large amounts of data.

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Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 243

Data Science Dojo

AUGUST 9, 2023

We’ll provide you with the information you need to get started on your journey to becoming a large language model developer step by step. These architectures are being used to develop new LLM applications in a variety of fields, such as natural language processing, machine translation, and healthcare.

Natural Language Processing 369

Natural Language Processing Data Science Database Artificial Intelligence 369

Data Science Dojo

SEPTEMBER 12, 2023

This can be done using a variety of methods, such as lexicon-based analysis, machine learning, or natural language processing. By understanding how customers are responding to their campaigns, marketers can make more informed decisions about how to allocate their resources. Another example is Netflix.

Natural Language Processing 513

Natural Language Processing Azure Machine Learning Machine Learning 513

Data Science Dojo

AUGUST 31, 2023

The UAE’s commitment to developing cutting-edge technology like NOOR and Falcon demonstrates its determination to be a global leader in the field of AI and natural language processing. This initiative addresses the gap in the availability of advanced language models for Arabic speakers.

Natural Language Processing 369

Natural Language Processing AI AI Artificial Intelligence 369

Data Science Dojo

DECEMBER 8, 2023

Large language models (LLMs) have revolutionized the field of natural language processing (NLP), enabling machines to generate human-quality text, translate languages, and answer questions in an informative way. It encompasses tasks like machine translation, text summarization, and sentiment analysis.

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Natural Language Processing Deep Learning Deep Learning Computer Science 295

Analytics Vidhya

OCTOBER 11, 2024

Introduction Natural Language Processing (NLP) has rapidly advanced, particularly with the emergence of Retrieval-Augmented Generation (RAG) pipelines, which effectively address complex, information-dense queries.

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Natural Language Processing Analytics Analytics Python 110

Flipboard

NOVEMBER 20, 2024

By narrowing down the search space to the most relevant documents or chunks, metadata filtering reduces noise and irrelevant information, enabling the LLM to focus on the most relevant content. This approach can also enhance the quality of retrieved information and responses generated by the RAG applications.

AWS 160

AWS Natural Language Processing Machine Learning Machine Learning 160

Data Science Dojo

OCTOBER 24, 2024

As a result, the enterprise can build a chatbot capable of understanding and responding to customer inquiries with context-aware, accurate information, significantly reducing response times and enhancing customer satisfaction. It will ensure seamless integration of the business’s internal knowledge base and external data sources.

Database 459

Database Natural Language Processing AI AI 459

Data Science Dojo

MARCH 23, 2024

Natural language processing (NLP) and large language models (LLMs) have been revolutionized with the introduction of transformer models. Transformers ensure the efficiency of LLMs in processing information. The training enables these model types to become efficient in understanding language relationships.

Natural Language Processing 516

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Data Science Dojo

JANUARY 25, 2024

The data points in the three-dimensional space can capture the semantic relationships and contextual information associated with them. With the advent of generative AI, the complexity of data makes vector embeddings a crucial aspect of modern-day processing and handling of information. The embeddings are also capable of.

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AI AI Algorithm Natural Language Processing 412

Dataconomy

MARCH 17, 2025

Natural Language Query (NLQ) is changing the way we interact with data analytics by allowing users to speak or type their questions in a way that feels natural and intuitive. What is Natural Language Query (NLQ)? NLP encompasses various techniques that allow systems to interpret and process user inputs effectively.

Natural Language Processing 91

Natural Language Processing Power BI Analytics Analytics 91

Data Science Dojo

APRIL 9, 2024

Understanding vision language models VLMs combine computer vision (CV) and natural language processing (NLP), enabling them to understand and connect visual information with textual data. The VLM provides in-depth textual information from the visual data. With its unique training method, Phi-1.5

Natural Language Processing 418

Natural Language Processing Python AI AI 418

Flipboard

DECEMBER 3, 2024

This conversational agent offers a new intuitive way to access the extensive quantity of seed product information to enable seed recommendations, providing farmers and sales representatives with an additional tool to quickly retrieve relevant seed information, complementing their expertise and supporting collaborative, informed decision-making.

AWS 149

AWS AI AI Machine Learning 149

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 revolutionizing how organizations interact with their data.

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Augmented Analytics Analytics Analytics Natural Language Processing 91

Machine Learning Research at Apple

FEBRUARY 27, 2025

Large language models have revolutionized natural language processing by leveraging self-supervised pretraining on vast textual data. However, existing approaches either model semantic (content) tokens, potentially losing acoustic information, or model acoustic tokens, risking the loss of semantic (content) information.

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Natural Language Processing 147