Analytics Vidhya

DECEMBER 26, 2024

In 2024, it solidified its role as the go-to platform for state-of-the-art models, spanning NLP, computer vision, speech recognition, and more. Open-source AI models on Hugging Face have become a driving force in the AI space, and Hugging Face remains at the forefront of this movement.

Computer Vision 223

Computer Vision NLP AI Modeling AI 223

Analytics Vidhya

NOVEMBER 18, 2024

BART is truly one of a kind in the ever-changing realm of NLP, as a strong model that has drastically changed the way we think of text generation and understanding. BART, which is short for Bidirectional and Autoregressive Transformer, takes the best aspects of both sides of the transformer architectures into one single view.

NLP 208

NLP 208

Analytics Vidhya

NOVEMBER 19, 2024

Generative foundation models have revolutionized Natural Language Processing (NLP), with Large Language Models (LLMs) excelling across diverse tasks. However, the field of visual generation still lacks a unified model capable of handling multiple tasks within a single framework.

Natural Language Processing 208

Natural Language Processing Large Language Models NLP Computer Vision 208

Towards AI

MAY 12, 2025

The Evolution of NLP Models Natural Language Processing (NLP) has transformed how machines understand and generate human language. From simple text processing to powerful language models capable of complex text generation, the journey of NLP has been remarkable. Author(s): Parth Saxena Originally published on Towards AI.

NLP 81

NLP Explainability Large Language Models Natural Language Processing 81

Analytics Vidhya

NOVEMBER 28, 2024

Large Language Models (LLMs) have revolutionized characteristic dialect preparing (NLP), fueling applications extending from summarization and interpretation to conversational operators and retrieval-based frameworks.

LLM 208

LLM BERT Large Language Models NLP 208

Unite.AI

APRIL 13, 2025

Advanced natural language processing (NLP) allows Alexa+ to understand commands and the context behind them. Natural Language Processing (NLP) A key component of Alexa+'s intelligence is its NLP capabilities. NLP enables Alexa+ to understand and interact with human language more naturally.

Natural Language Processing 218

Natural Language Processing Machine Learning NLP AI 218

John Snow Labs

JUNE 10, 2025

By integrating Natural Language Processing (NLP) and Large Language Models (LLMs), they are unlocking valuable insights from oncology EHRs. By leveraging NLP and LLMs, they extract, structure, and analyze unstructured data from EHRs, PDFs, and clinical notes. John Snow Labs and MiBA are at the forefront of addressing these challenges.

NLP 52

NLP Data Extraction Large Language Models LLM 52

AI News

MAY 19, 2025

Using NLP to decode market emotions Natural Language Processing (NLP) tools help cryptocurrency investors analyse real-time, unstructured data to understand market sentiment and investor behaviour. The study boasts an impressive accuracy of 99.84%.

Neural Network 280

Neural Network Deep Learning Natural Language Processing NLP 280

Unite.AI

NOVEMBER 11, 2024

By leveraging ML and natural language processing (NLP) techniques, CRM platforms can collect raw data from disparate sources, such as purchase patterns, customer interactions, buying behavior, and purchasing history. It leverages the power of NLP techniques to analyze the customer's tone, level of urgency, and intent.

Data Ingestion 218

Data Ingestion AI AI Natural Language Processing 218

AI News

JANUARY 16, 2025

Although these models are perhaps most known for revolutionising natural language processing (NLP), IBM has advanced their use cases beyond text, including applications in chemistry, geospatial data, and time series analysis.

Generative AI 335

Generative AI Big Data Natural Language Processing AI 335

Analytics Vidhya

JANUARY 20, 2025

ModernBERT is an advanced iteration of the original BERT model, meticulously crafted to elevate performance and efficiency in natural language processing (NLP) tasks.

Natural Language Processing 207

Natural Language Processing BERT NLP Machine Learning 207

AI News

APRIL 7, 2025

The three core AI-related technologies that play an important role in the finance sector, are: Natural language processing (NLP) : The NLP aspect of AI helps companies understand and interpret human language, and is used for sentiment analysis or customer service automation through chatbots.

Data Mining 245

Data Mining Chatbots Automation Machine Learning 245

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.

Natural Language Processing 346

Natural Language Processing NLP Deep Learning BERT 346

Unite.AI

MAY 4, 2025

By employing AI technologies such as Machine Learning (ML), Natural Language Processing (NLP) , and visual grounding, this technology not only extracts text but also understands the structure and context of documents. It uses deep learning , NLP, spatial computing, and system integration to extract meaningful data accurately and efficiently.

Automation 230

Automation Convolutional Neural Networks Neural Network NLP 230

AI News

NOVEMBER 21, 2024

Chatbots come in various forms, including: Rule-based chatbots: Respond to specific commands predetermined by developers, AI-driven chatbots: Use machine learning and natural language processing (NLP) to understand and adapt to user queries.

Chatbots 295

Chatbots Natural Language Processing Machine Learning AI Chatbots 295

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

Flipboard

MARCH 25, 2025

In this post, we present an approach to using natural language processing (NLP) to query an Amazon Aurora PostgreSQL-Compatible Edition database. The solution presented in this post assumes that an organization has an Aurora PostgreSQL database. We create a web application framework using Flask for the user to interact with the database.

Natural Language Processing 162

Natural Language Processing Generative AI NLP Python 162

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.

Automation 331

Automation NLP Artificial Intelligence Artificial Intelligence 331

Analytics Vidhya

MARCH 7, 2025

I asked my advisor, “Should I use an LSTM or a GRU for this NLP project?” Sequence data excite you initially, but then confusion sets in when differentiating between the multiple architectures. ” His untimely, “It depends,” did nothing to assuage my […] The post When to Use GRUs Over LSTMs?

Neural Network 137

Neural Network NLP 137

Unite.AI

OCTOBER 27, 2024

Natural Natural has established itself as a comprehensive NLP library for JavaScript, providing essential tools for text-based AI applications. Beyond its core NLP capabilities, Natural provides sophisticated features for language detection, sentiment analysis, and text classification.

Neural Network 157

Neural Network Machine Learning NLP Natural Language Processing 157

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.

BERT 348

BERT Natural Language Processing Large Language Models NLP 348

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.

Large Language Models 312

Large Language Models NLP Generative AI AI 312

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

Natural Language Processing Large Language Models NLP LLM 306

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

Neural Network Natural Language Processing NLP 336

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).

Large Language Models 326

Large Language Models Natural Language Processing NLP AI Modeling 326

Marktechpost

NOVEMBER 16, 2024

This extensive training allows the embeddings to capture semantic meanings effectively, enabling advanced NLP tasks. Utility Functions: The library provides useful functions for similarity lookups and analogies, aiding in various NLP tasks. Custom Training: Users can train these embeddings on new data, tailoring them to specific needs.

Generative AI 102

Generative AI NLP BERT OpenAI 102

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 NLP Generative AI AI 125

Analytics Vidhya

SEPTEMBER 25, 2024

Introduction In the current data-focused society, high-dimensional data vectors are now more important than ever for various uses like recommendation systems, image recognition, NLP, and anomaly detection.

NLP 291

NLP 291

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

Natural Language Processing NLP 317

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.

Natural Language Processing 352

Natural Language Processing NLP 352

Towards AI

NOVEMBER 6, 2024

Unlocking efficient legal document classification with NLP fine-tuning Image Created by Author Introduction In today’s fast-paced legal industry, professionals are inundated with an ever-growing volume of complex documents — from intricate contract provisions and merger agreements to regulatory compliance records and court filings.

BERT 111

BERT Automation NLP Data Analysis 111

Marktechpost

OCTOBER 31, 2024

This model not only excels in common NLP tasks but also supports more advanced functionalities like function calling—a feature that makes it particularly useful for automated coding assistants or personal AI applications that need to integrate seamlessly with existing software. parameter version. Check out the Model Series here.

Natural Language Processing 136

Natural Language Processing NLP Large Language Models Automation 136

Analytics Vidhya

FEBRUARY 3, 2025

Built on advanced NLP and AI, this open-source tool offers a practical alternative to solutions like OpenAIs Operator. Meet Open Operatoryour AI-powered assistant for browser automation. Simply describe what you need in plain English, and it gets the job doneno coding required.

NLP 152

NLP OpenAI Automation AI 152

Analytics Vidhya

FEBRUARY 10, 2025

The field of natural language processing (NLP) has seen significant advancements in the past few years, with post-training techniques playing a crucial role in refining language models.

Natural Language Processing 140

Natural Language Processing NLP OpenAI Generative AI 140

Towards AI

DECEMBER 23, 2024

These concepts are the foundation of cutting-edge NLP, and once you grasp them, youll see why theyre so powerful and versatile. Thats kind of what Transformers do in NLP. Imagine youre trying to read a book, not line by line, but by flipping to any page you want instantly and picking up on the connections between parts of the story.

BERT 115

BERT NLP ChatGPT AI 115