Analytics Vidhya

JUNE 12, 2024

This article will delve into Hugging Face’s capabilities for building NLP applications, covering key services such as models, datasets, and open-source libraries. Whether you are a beginner or an experienced developer, Hugging Face offers versatile tools to […] The post How to Build NLP Applications with Hugging Face?

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Analytics Vidhya

DECEMBER 13, 2023

Introduction The year 2023 witnessed groundbreaking advancements in Natural Language Processing (NLP) with the rise of powerful language models like Bard, Gemini, and ChatGPT.

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Analytics Vidhya

SEPTEMBER 13, 2023

Natural Language Processing (NLP) Engineers are the driving force behind this transformation. They are the wizards who equip machines with the power to comprehend, manipulate, and respond to the nuances of human communication. […] The post How To Become An NLP Engineer? Career Roadmap 2023 appeared first on Analytics Vidhya.

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Analytics Vidhya

AUGUST 25, 2024

But […] The post How Amazon Alexa Works Using NLP appeared first on Analytics Vidhya. This is the beauty of Amazon Alexa, a smart speaker that is driven by Natural Language Processing and Artificial Intelligence.

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Analytics Vidhya

OCTOBER 16, 2023

Introduction Fine-tuning a natural language processing (NLP) model entails altering the model’s hyperparameters and architecture and typically adjusting the dataset to enhance the model’s performance on a given task.

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NLP Natural Language Processing Deep Learning Machine Learning 342

Analytics Vidhya

OCTOBER 20, 2023

Enter Retrieval Augmented Generation (RAG), a fusion of retrieval and generation models in NLP. Join us as we uncover the secrets of RAG, explore its applications, and its […] The post RAG’s Innovative Approach to Unifying Retrieval and Generation in NLP appeared first on Analytics Vidhya.

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Unite.AI

JUNE 6, 2023

AutoGPT can gather task-related information from the internet using a combination of advanced methods for Natural Language Processing (NLP) and autonomous AI agents. 3 Major Benefits of AutoGPT & How It Supercharges NLP? Let’s give a comprehensive overview of AutoGPT and discuss its fundamental features. How Does AutoGPT Work?

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Unite.AI

NOVEMBER 8, 2023

Natural Language Processing (NLP) has experienced some of the most impactful breakthroughs in recent years, primarily due to the the transformer architecture. The introduction of word embeddings, most notably Word2Vec, was a pivotal moment in NLP. One-hot encoding is a prime example of this limitation.

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Analytics Vidhya

AUGUST 28, 2024

That’s the power of adaptive […] The post Transforming NLP with Adaptive Prompting and DSPy appeared first on Analytics Vidhya. Now, imagine if you had a tool that could adapt to every twist and turn of the discussion, offering just the right words at the right time.

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Analytics Vidhya

NOVEMBER 2, 2024

Hybrid Mamba-Transformer Model for Advanced NLP appeared first on Analytics Vidhya. It combines the Mamba Structured State Space Model (SSM) with the traditional Transformer architecture. This model, developed by AI21 Labs, can process a 256K effective […] The post Jamba 1.5:

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Analytics Vidhya

APRIL 16, 2024

Introduction Welcome into the world of Transformers, the deep learning model that has transformed Natural Language Processing (NLP) since its debut in 2017. These linguistic marvels, armed with self-attention mechanisms, revolutionize how machines understand language, from translating texts to analyzing sentiments.

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Analytics Vidhya

FEBRUARY 2, 2023

Building a chatbot can be a fun and educational project to help you gain practical skills in NLP and programming. This beginner’s guide will go over the steps to build a simple chatbot using NLP techniques. In this guide, […] The post How to Build a Chatbot using Natural Language Processing?

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Analytics Vidhya

JUNE 13, 2024

Introduction Large language models (LLMs) have revolutionized natural language processing (NLP), enabling various applications, from conversational assistants to content generation and analysis. However, working with LLMs can be challenging, requiring developers to navigate complex prompting, data integration, and memory management tasks.

Large Language Models 381

Large Language Models Natural Language Processing NLP Python 381

Analytics Vidhya

SEPTEMBER 6, 2023

Introduction Welcome to the transformative world of Natural Language Processing (NLP). The unseen force of NLP powers many of the digital interactions we rely on. Here, the elegance of human language meets the precision of machine intelligence.

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Analytics Vidhya

JULY 21, 2022

Though it can seem quite diverse, NLP is restricted – when it comes to the ‘Natural Languages’ it can […]. Introduction Over the past few years, advancements in Deep Learning coupled with data availability have led to massive progress in dealing with Natural Language.

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Analytics Vidhya

NOVEMBER 1, 2022

Source: Canva|Arxiv Introduction In 2018 GoogleAI researchers developed Bidirectional Encoder Representations from Transformers (BERT) for various NLP tasks. This article was published as a part of the Data Science Blogathon. The post An Introduction to BigBird appeared first on Analytics Vidhya.

BERT 390

BERT NLP Data Science Python 390

Analytics Vidhya

MARCH 30, 2024

Introduction With the advent of Large Language Models (LLMs), they have permeated numerous applications, supplanting smaller transformer models like BERT or Rule Based Models in many Natural Language Processing (NLP) tasks.

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Analytics Vidhya

NOVEMBER 3, 2022

It was a fantastic work that brought a revolution in the NLP domain. This article was published as a part of the Data Science Blogathon. Source: Canva Introduction In 2018, GoogleAI researchers released the BERT model. However, the BERT model did have some drawbacks i.e. it was bulky and hence a little slow. To navigate […].

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Analytics Vidhya

NOVEMBER 2, 2022

A Quick Recap of Transformers in NLP A transformer has rapidly become the dominant […]. If you have, you are at the right place to explore it. Any guesses how? Yes, you got it! It’s the beauty of Natural Language Processing’s Transformers. The post Comprehensive Guide to BERT appeared first on Analytics Vidhya.

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Analytics Vidhya

APRIL 21, 2024

Introduction Converting natural language queries into code is one of the toughest challenges in NLP. The ability to change a simple English question into a complex code opens up a number of possibilities in developer productivity and a quick software development lifecycle.

Large Language Models 336

Large Language Models Software Development NLP Generative AI 336

Analytics Vidhya

MAY 17, 2024

Introduction In natural language processing (NLP), sequence-to-sequence (seq2seq) models have emerged as a powerful and versatile neural network architecture.

Neural Network 336

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Analytics Vidhya

JANUARY 24, 2024

However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). In the old days, transfer learning was a concept mostly used in deep learning. This paper explored models using fine-tuning and transfer learning.

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Analytics Vidhya

JUNE 25, 2024

With the aid of AI and NLP innovations like LangChain and […] The post Automating Web Search Using LangChain and Google Search APIs appeared first on Analytics Vidhya. Researchers and innovators are creating a wide range of tools and technology to support the creation of LLM-powered applications.

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Analytics Vidhya

MAY 1, 2024

Google’s latest breakthrough in natural language processing (NLP), called Gecko, has been gaining a lot of interest since its launch. Unlike traditional text embedding models, Gecko takes a whole new approach by distilling knowledge from large language models (LLMs).

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Analytics Vidhya

FEBRUARY 16, 2024

Introduction In Natural Language Processing (NLP), developing Large Language Models (LLMs) has proven to be a transformative and revolutionary endeavor. These models, equipped with massive parameters and trained on extensive datasets, have demonstrated unprecedented proficiency across many NLP tasks.

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Analytics Vidhya

DECEMBER 25, 2023

Combining the strengths of computer vision and Natural Language Processing (NLP), multimodal models open up new possibilities for machines to interact with the environment in a more human-like manner. They have emerged as a groundbreaking approach, revolutionizing how machines perceive and understand the world.

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Analytics Vidhya

FEBRUARY 28, 2024

In the rapidly evolving fields of Natural Language Processing (NLP) and Machine Learning (ML), efficiency and innovation are key. LangChain, a powerful library, streamlines and enhances NLP and ML tasks, standing out for developers and researchers.

Natural Language Processing 305

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Analytics Vidhya

MAY 8, 2024

Introduction to Ludwig The development of Natural Language Machines (NLP) and Artificial Intelligence (AI) has significantly impacted the field. These models can understand and generate human-like text, enabling applications like chatbots and document summarization.

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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.

Natural Language Processing 317

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Analytics Vidhya

APRIL 22, 2024

Introduction In natural language processing (NLP), it is important to understand and effectively process sequential data. Long Short-Term Memory (LSTM) models have emerged as a powerful tool for tackling this challenge. They offer the capability to capture both short-term nuances and long-term dependencies within sequences.

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Analytics Vidhya

SEPTEMBER 29, 2023

Introduction Generative Artificial Intelligence (AI) models have revolutionized natural language processing (NLP) by producing human-like text and language structures. But how do we evaluate the effectiveness of these generative AI models […] The post Evaluation of GenAI Models and Search Use Case appeared first on Analytics Vidhya.

Natural Language Processing 343

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Analytics Vidhya

JUNE 26, 2024

Introduction Retrieval-Augmented Generation (RAG) is a dominant force in the NLP field, using the combinative power of large language models and external knowledge retrieval. The RAG system has both advantages and disadvantages.

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Analytics Vidhya

OCTOBER 2, 2023

They can be used to develop natural language processing (NLP) applications varying from chatbots and text summarizers to translation apps, virtual assistants, etc. Introduction As AI is taking over the world, Large language models are in huge demand in technology. Large Language Models generate text in a way a human does.

Python 343

Python Natural Language Processing Large Language Models NLP 343

Analytics Vidhya

JULY 27, 2024

This is where the term frequency-inverse document frequency (TF-IDF) technique in Natural Language Processing (NLP) comes into play. Introduction Understanding the significance of a word in a text is crucial for analyzing and interpreting large volumes of data.

Natural Language Processing 312

Natural Language Processing NLP Python 312

Analytics Vidhya

SEPTEMBER 18, 2024

Introduction Large Language Models (LLMs) contributed to the progress of Natural Language Processing (NLP), but they also raised some important questions about computational efficiency. These models have become too large, so the training and inference cost is no longer within reasonable limits.

Natural Language Processing 306

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Analytics Vidhya

FEBRUARY 8, 2024

Introduction In the rapidly evolving field of Natural Language Processing (NLP), one of the most intriguing challenges is converting natural language queries into SQL statements, known as Text2SQL.

LLM 306

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Analytics Vidhya

SEPTEMBER 27, 2023

In this article, we will explore and implement some NLP techniques to create a powerful chat assistant that can respond to your questions based on a […] The post Build Powerful Chat Assistant for PDFs and Articles Without OpenAI Key appeared first on Analytics Vidhya.

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