Unite.AI

APRIL 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks.

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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.

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Large Language Models Natural Language Processing NLP Python 333

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.

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Natural Language Processing Large Language Models NLP LLM 256

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

JANUARY 24, 2024

Introduction Welcome to the world of Large Language Models (LLM). However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP).

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Automation Natural Language Processing Large Language Models Deep Learning 285

Analytics Vidhya

MAY 20, 2024

Introduction Artificial intelligence has made tremendous strides in Natural Language Processing (NLP) by developing Large Language Models (LLMs). These models, like GPT-3 and GPT-4, can generate highly coherent and contextually relevant text.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 274

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

OCTOBER 2, 2023

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.

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Python Natural Language Processing Large Language Models NLP 293

Unite.AI

JUNE 6, 2023

& GPT-4 large language models (LLMs), has generated significant excitement within the Artificial Intelligence (AI) community. AutoGPT can gather task-related information from the internet using a combination of advanced methods for Natural Language Processing (NLP) and autonomous AI agents.

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NLP AI AI Natural Language Processing 355

Analytics Vidhya

SEPTEMBER 27, 2023

Introduction The world of Natural Language Processing is expanding tremendously, especially with the birth of large language models, which have revolutionized this field and made it accessible to everyone.

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Analytics Vidhya

FEBRUARY 27, 2024

Introduction Large language models (LLMs) are increasingly becoming powerful tools for understanding and generating human language. LLMs have even shown promise in more specialized domains, like healthcare, finance, and law.

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LLM Large Language Models Natural Language Processing BERT 322

Marktechpost

MAY 3, 2024

Natural Language Processing (NLP) is integral to artificial intelligence, enabling seamless communication between humans and computers. Researchers from East China University of Science and Technology and Peking University have surveyed the integrated retrieval-augmented approaches to language models.

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Analytics Vidhya

JULY 5, 2023

In a world where language is the bridge connecting people and technology, advancements in Natural Language Processing (NLP) have opened up incredible opportunities.

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Unite.AI

NOVEMBER 28, 2023

Recently, text-based Large Language Model (LLM) frameworks have shown remarkable abilities, achieving human-level performance in a wide range of Natural Language Processing (NLP) tasks. This approach trains large language models to more effectively follow open-ended user instructions.

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Large Language Models Neural Network LLM Natural Language Processing 170

Unite.AI

DECEMBER 4, 2023

Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts. Despite their excellent language abilities these models are expensive due to high energy consumption, considerable memory requirements as well as heavy computational costs.

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Large Language Models BERT Neural Network Natural Language Processing 216

Marktechpost

MAY 11, 2024

With the significant advancement in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP), Large Language Models (LLMs) like GPT have gained attention for producing fluent text without explicitly built grammar or semantic modules.

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Analytics Vidhya

JANUARY 22, 2024

Introduction Transformers and the Large Language Models have taken the world by storm after they have been introduced in the field of Natural Language Processing (NLP). Since their inception, the field has been quickly evolving with innovations and research that make these LLMs more efficient.

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Natural Language Processing Large Language Models NLP Python 222

Analytics Vidhya

APRIL 10, 2024

Introduction While OpenAI’s GPT-4 has made waves as a powerful large language model, its closed-source nature and usage limitations have left many developers seeking open-source alternatives.

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Large Language Models Natural Language Processing NLP OpenAI 212

Marktechpost

NOVEMBER 1, 2024

Natural Language Processing (NLP) focuses on building computational models to interpret and generate human language. However, NLP for Hindi still needs to be improved, mainly due to a need for high-quality Hindi data and language-specific models.

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Large Language Models NLP Natural Language Processing Artificial Intelligence 124

Marktechpost

MARCH 8, 2024

The relentless advancement in natural language processing (NLP) has ushered in an era of large language models (LLMs) capable of performing various complex tasks with unprecedented accuracy. Check out the Paper. All credit for this research goes to the researchers of this project.

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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.

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Unite.AI

JANUARY 11, 2024

They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more. The post Training Improved Text Embeddings with Large Language Models appeared first on Unite.AI.

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Marktechpost

MAY 27, 2024

Knowledge-intensive Natural Language Processing (NLP) involves tasks requiring deep understanding and manipulation of extensive factual information. These tasks challenge models to effectively access, retrieve, and utilize external knowledge sources, producing accurate and relevant outputs. Check out the Paper.

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Marktechpost

APRIL 30, 2024

Large Language Models (LLMs) signify a revolutionary leap in numerous application domains, facilitating impressive accomplishments in diverse tasks. With billions of parameters, these models demand extensive computational resources for operation. Yet, their immense size incurs substantial computational expenses.

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AssemblyAI

NOVEMBER 9, 2023

In Natural Language Processing (NLP), Text Summarization models automatically shorten documents, papers, podcasts, videos, and more into their most important soundbites. The models are powered by advanced Deep Learning and Machine Learning research. What is Text Summarization for NLP?

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Unite.AI

JULY 5, 2023

Their latest large language model (LLM) MPT-30B is making waves across the AI community. In the near future, we can expect to see commercially available open-source models that are far more powerful and efficient than the MPT family. For the latest AI news, visit unite.ai.

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Analytics Vidhya

NOVEMBER 20, 2024

Large Language Models like BERT, T5, BART, and DistilBERT are powerful tools in natural language processing where each is designed with unique strengths for specific tasks. Whether it’s summarization, question answering, or other NLP applications.

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Marktechpost

JULY 7, 2024

Natural language processing (NLP) drives researchers to develop algorithms that enable computers to understand, interpret, and generate human languages. The problem concerns the inefficiencies and limitations of tokenizers used in large language models (LLMs).

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Marktechpost

MARCH 19, 2024

Large language models (LLMs) have revolutionized how computers understand and generate human language in machine learning and natural language processing. BurstAttention is a significant advancement in processing long sequences in large language models; it’s a game-changer for NLP.

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Marktechpost

FEBRUARY 9, 2024

In the ever-evolving landscape of natural language processing (NLP), the quest to bridge the gap between machine interpretation and the nuanced complexity of human language continues to present formidable challenges. The results revealed variance in the models’ ability to grasp and apply linguistic context.

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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.

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Marktechpost

MARCH 2, 2024

Large Language Models (LLMs) have significantly evolved in recent times, especially in the areas of text understanding and generation. However, there have been certain difficulties in optimizing LLMs for more effective human instruction delivery.

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Marktechpost

MARCH 30, 2024

Natural Language Processing (NLP) models are pivotal for various applications, from translation services to virtual assistants. These models have become increasingly sophisticated and offer nuanced understanding and interaction capabilities as technology advances.

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Marktechpost

JANUARY 21, 2024

Large Language Models (LLMs) have exhibited remarkable prowess across various natural language processing tasks. However, applying them to Information Retrieval (IR) tasks remains a challenge due to the scarcity of IR-specific concepts in natural language.

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Large Language Models Natural Language Processing Categorization NLP 140

Analytics Vidhya

JULY 26, 2024

Introduction Mastering prompt engineering has become crucial in Natural Language Processing (NLP) and artificial intelligence. This skill, a blend of science and artistry, involves crafting precise instructions to guide AI models in generating desired outcomes.

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IBM Journey to AI blog

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Why are Scope 3 emissions difficult to calculate?

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Unite.AI

FEBRUARY 7, 2024

But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

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