Marktechpost

JULY 26, 2024

Large language models’ (LLMs) training pipelines are the source of inspiration for this method in the field of natural language processing (NLP). Tokenizing input is a crucial part of LLM training, and it’s commonly accomplished using byte pair encoding (BPE).

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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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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.

Natural Language Processing 136

Natural Language Processing Large Language Models Categorization BERT 136

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

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.

BERT 203

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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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Natural Language Processing Large Language Models NLP Computer Vision 203

Towards AI

AUGUST 6, 2024

Master LLMs & Generative AI Through These Five Books This article reviews five key books that explore the rapidly evolving fields of large language models (LLMs) and generative AI, providing essential insights into these transformative technologies.

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Large Language Models Generative AI Natural Language Processing Prompt Engineering 108

Unite.AI

MARCH 22, 2024

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP).

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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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Large Language Models NLP Data Scarcity Computational Linguistics 130

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 370

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 173

John Snow Labs

SEPTEMBER 5, 2023

Topics Covered Include Large Language Models, Semantic Search, ChatBots, Responsible AI, and the Real-World Projects that Put Them to Work John Snow Labs , the healthcare AI and NLP company and developer of the Spark NLP library, today announced the agenda for its annual NLP Summit, taking place virtually October 3-5.

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Natural Language Processing NLP Large Language Models Chatbots 98

Marktechpost

SEPTEMBER 8, 2024

Large language models (LLMs) have revolutionized natural language processing (NLP), particularly for English and other data-rich languages. However, this rapid advancement has created a significant development gap for underrepresented languages, with Cantonese being a prime example.

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Large Language Models NLP Neural Network Data Scarcity 102

AssemblyAI

MAY 3, 2023

A New Era of Language Intelligence At its essence, ChatGPT belongs to a class of AI systems called Large Language Models , which can perform an outstanding variety of cognitive tasks involving natural language. From Language Models to Large Language Models How good can a language model become?

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Marktechpost

FEBRUARY 7, 2024

With the rising complexity and capability of Artificial Intelligence (AI), its latest innovation, i.e., the Large Language Models (LLMs), has demonstrated great advances in tasks, including text generation, language translation, text summarization, and code completion.

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Natural Language Processing Artificial Intelligence Artificial Intelligence NLP 119

Marktechpost

MARCH 4, 2024

The team has presented the BABILong framework, which is a generative benchmark for testing Natural Language Processing (NLP) models on processing arbitrarily lengthy documents containing scattered facts in order to assess models with very long inputs.

Natural Language Processing 122

Natural Language Processing NLP Data Analysis Machine Learning 122

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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Natural Language Processing NLP BERT AI Research 126

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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Large Language Models Natural Language Processing NLP AI Modeling 305

SAS Software

JULY 9, 2024

Adding linguistic techniques in SAS NLP with LLMs not only help address quality issues in text data, but since they can incorporate subject matter expertise, they give organizations a tremendous amount of control over their corpora.

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Natural Language Processing Data Quality NLP Text Analytics 64

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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Marktechpost

NOVEMBER 16, 2024

Large language models (LLMs) have revolutionized natural language processing by offering sophisticated abilities for a range of applications. However, these models face significant challenges. The empirical analysis performed on two models—Llama-3-8B-Instruct and Mistral-7B-Instruct-v0.3—demonstrates

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Flipboard

JUNE 29, 2023

Large language models are getting released left right and center, and if you want to understand them better you need to know about NLP. Here are 5 Free books to help you.

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Natural Language Processing Large Language Models NLP 132

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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Large Language Models Algorithm Natural Language Processing NLP 132

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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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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Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. Recommendation Systems : By accelerating inference for models that process large amounts of user data, TensorRT enables real-time personalization at scale.

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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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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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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 331

SAS Software

MARCH 11, 2024

While large language models (LLMs) have become synonymous with advanced AI capabilities, their integration into various business and technological domains is often accompanied by significant costs. These costs arise from the extensive computational resources required for training and running these models.

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Large Language Models Natural Language Processing NLP AI 64

Mlearning.ai

MAY 5, 2023

A basic introduction to large language models and their emergence Source: Here “GPT is like alchemy!”  — Ilya Sutskever, chief scientist of OpenAI WE CAN CONNECT ON :| LINKEDIN | TWITTER | MEDIUM | SUBSTACK | In recent years, there has been a great deal of buzz surrounding large language models, or LLMs for short.

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Large Language Models Neural Network Natural Language Processing Deep Learning 98

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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Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 133

Marktechpost

SEPTEMBER 21, 2023

In the ever-evolving landscape of Natural Language Processing (NLP) and Artificial Intelligence (AI), Large Language Models (LLMs) have emerged as powerful tools, demonstrating remarkable capabilities in various NLP tasks. If you like our work, you will love our newsletter.

Large Language Models 130

Large Language Models AI Research AI Researcher NLP 130

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).

Automation 323

Automation Natural Language Processing Large Language Models Deep Learning 323

AssemblyAI

SEPTEMBER 18, 2023

However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Large language models can be an intimidating topic to explore, especially if you don't have the right foundational understanding. What Is a Large Language Model?

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Large Language Models BERT Auto-complete LLM 130

Marktechpost

JUNE 30, 2024

Natural language processing (NLP) has experienced significant growth, largely due to the recent surge in the size and strength of large language models. For different reasons, both researchers and practitioners in NLP see IA studies as important for NLP, various subfields, and their work.

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NLP Natural Language Processing Large Language Models ML 116

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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