Unite.AI

SEPTEMBER 20, 2023

Hugging Face is an AI research lab and hub that has built a community of scholars, researchers, and enthusiasts. In a short span of time, Hugging Face has garnered a substantial presence in the AI space. Transformers in NLP In 2017, Cornell University published an influential paper that introduced transformers.

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Marktechpost

SEPTEMBER 14, 2023

In the ever-evolving field of Natural Language Processing (NLP), the development of machine translation and language models has been primarily driven by the availability of vast training datasets in languages like English. What sets this dataset apart is the rigorous auditing process it underwent.

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Flipboard

JUNE 10, 2023

When it comes to natural language processing (NLP) tasks, large language models (LLM) trained on massive online datasets perform exceptionally well. …

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IBM Journey to AI blog

AUGUST 13, 2024

An early hint of today’s natural language processing (NLP), Shoebox could calculate a series of numbers and mathematical commands spoken to it, creating a framework used by the smart speakers and automated customer service agents popular today.

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AI Weekly

AUGUST 10, 2023

Powered by clkmg.com In the News Deepset nabs $30M to speed up natural language processing projects Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications.

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Marktechpost

SEPTEMBER 19, 2024

The release of WordLlama on Hugging Face marks a pivotal moment in natural language processing (NLP). This advanced language model is designed to offer developers, researchers, and businesses a highly efficient and accessible tool for various NLP applications.

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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.

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Marktechpost

MARCH 6, 2024

Salesforce AI Researchers introduced the SFR-Embedding-Mistral model to address the challenge of improving text-embedding models for various natural language processing (NLP) tasks, including retrieval, clustering, classification, and semantic textual similarity.

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Unite.AI

AUGUST 19, 2023

Fortunately, a team of researchers in Africa is striving to bridge this digital divide. Their recent study in the journal Patterns outlines strategies to develop AI tools tailored to African languages. Kathleen Siminyu, an AI researcher at the Masakhane Research Foundation, emphasizes the importance of this endeavor.

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Marktechpost

SEPTEMBER 12, 2023

When it comes to downstream natural language processing (NLP) tasks, large language models (LLMs) have proven to be exceptionally effective. Their text comprehension and generation abilities make them extremely flexible for use in a wide range of NLP applications.

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AI Weekly

JUNE 27, 2024

nature.com Adoption and impacts of generative AI : Theoretical underpinnings and research agenda Large language models (LLMs) have received considerable interest in the field of natural language processing (NLP) owing to their remarkable ability to generate clear, consistent, and contextually relevant materials.

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Marktechpost

MARCH 3, 2024

Central to Natural Language Processing (NLP) advancements are large language models (LLMs), which have set new benchmarks for what machines can achieve in understanding and generating human language. One of the primary challenges in NLP is the computational demand for autoregressive decoding in LLMs.

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Marktechpost

AUGUST 9, 2024

LG AI Research has recently announced the release of EXAONE 3.0. The release as an open-source large language model is unique to the current version with great results and 7.8B LG AI Research is driving a new development direction, marking it competitive with the latest technology trends. parameters.

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Marktechpost

DECEMBER 13, 2023

The well-known Large Language Models (LLMs) like GPT, BERT, PaLM, and LLaMA have brought in some great advancements in Natural Language Processing (NLP) and Natural Language Generation (NLG). If you like our work, you will love our newsletter.

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Marktechpost

SEPTEMBER 10, 2023

Transformer design that has recently become popular has taken over as the standard method for Natural Language Processing (NLP) activities, particularly Machine Translation (MT). This not only lessens the model’s computational load but also improves its effectiveness and applicability for diverse NLP applications.

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AI Research AI Researcher NLP Natural Language Processing 131

Topbots

APRIL 11, 2023

In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. The Most Important Large Language Models (LLMs) in 2023 1. This model marked a new era in NLP with pre-training of language models becoming a new standard.

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AI Weekly

JUNE 13, 2024

economist.com Apple’s next nebulous idea: smart home robots Apple’s next big project could be harder than building a car — making a smart AI robot that can figure out how to navigate my house. In the real world, it is a prediction—and a welcome one.

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Marktechpost

NOVEMBER 14, 2023

Medical data extraction, analysis, and interpretation from unstructured clinical literature are included in the emerging discipline of clinical natural language processing (NLP). Even with its importance, particular difficulties arise while developing methodologies for clinical NLP.

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Unite.AI

MARCH 13, 2024

Introduction The field of natural language processing (NLP) and language models has experienced a remarkable transformation in recent years, propelled by the advent of powerful large language models (LLMs) like GPT-4, PaLM, and Llama.

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Unite.AI

JULY 24, 2024

In the consumer technology sector, AI began to gain prominence with features like voice recognition and automated tasks. Over the past decade, advancements in machine learning, Natural Language Processing (NLP), and neural networks have transformed the field. Notable acquisitions include companies like Xnor.a

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Marktechpost

JULY 6, 2024

Natural language processing (NLP) in artificial intelligence focuses on enabling machines to understand and generate human language. This field encompasses a variety of tasks, including language translation, sentiment analysis, and text summarization. Also, don’t forget to follow us on Twitter.

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AI Research AI Researcher Large Language Models Natural Language Processing 113

Unite.AI

FEBRUARY 7, 2024

LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code. LLMs, such as GPT-4 , BERT , and T5 , are very powerful and versatile in Natural Language Processing (NLP).

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Marktechpost

DECEMBER 31, 2023

Large Language Models (LLMs), the latest innovation of Artificial Intelligence (AI), use deep learning techniques to produce human-like text and perform various Natural Language Processing (NLP) and Natural Language Generation (NLG) tasks. If you like our work, you will love our newsletter.

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AI Research AI Researcher Large Language Models Natural Language Processing 135

Marktechpost

MARCH 2, 2024

The currently existing techniques for instruction tuning frequently rely on Natural Language Processing (NLP) datasets, which are scarce, or self-instruct approaches that produce artificial datasets having difficulty with diversity. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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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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NYU Center for Data Science

DECEMBER 1, 2023

The quest to refine AI’s understanding of extensive textual data has recently been advanced due to two recent papers by CDS PhD student Jason Phang , who is the first author of two recent NLP papers that secured “best paper” accolades at ICML 2023 and EMNLP 2023. By Stephen Thomas

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Marktechpost

SEPTEMBER 30, 2023

Researchers continually strive to build models that can understand, reason, and generate text like humans in the rapidly evolving field of natural language processing. These models must grapple with complex linguistic nuances, bridge language gaps, and adapt to diverse tasks.

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AI Weekly

APRIL 11, 2024

No legacy process is safe. And this is particularly true for accounts payable (AP) programs, where AI, coupled with advancements in deep learning, computer vision and natural language processing (NLP), is helping drive increased efficiency, accuracy and cost savings for businesses.

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ODSC - Open Data Science

APRIL 11, 2023

A lot goes into NLP. Languages, dialects, unstructured data, and unique business needs all contribute to requiring constant innovation from the field. Going beyond NLP platforms and skills alone, having expertise in novel processes, and staying afoot in the latest research are becoming pivotal for effective NLP implementation.

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Marktechpost

JUNE 21, 2024

Text embeddings (TEs) are low-dimensional vector representations of texts of different sizes, which are important for many natural language processing (NLP) tasks. Pre-trained language models, like BERT and GPT, have shown great success in various NLP tasks.

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AI Research AI Researcher BERT Natural Language Processing 113

Pickl AI

DECEMBER 26, 2024

Summary: Amazon’s Ultracluster is a transformative AI supercomputer, driving advancements in Machine Learning, NLP, and robotics. Its high-performance architecture accelerates AI research, benefiting healthcare, finance, and entertainment industries.

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Marktechpost

MARCH 3, 2025

Encoder models like BERT and RoBERTa have long been cornerstones of natural language processing (NLP), powering tasks such as text classification, retrieval, and toxicity detection. All credit for this research goes to the researchers of this project.

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IBM Journey to AI blog

FEBRUARY 26, 2024

But it does mean that Meta is deliberately approaching their LLM development and other AI research in a way that they believe may yield AGI eventually. An emerging trend in artificial intelligence is multimodal AI: models that can understand and operate across different data formats (or modalities ). Will Llama 3 be multimodal?

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AI Weekly

JUNE 1, 2023

[Apply now] 1west.com In The News Almost 60% of people want regulation of AI in UK workplaces, survey finds Almost 60% of people would like to see the UK government regulate the use of generative AI technologies such as ChatGPT in the workplace to help safeguard jobs, according to a survey. siliconangle.com Can AI improve cancer care?

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Marktechpost

JULY 2, 2023

The performance of large language models (LLMs) has been impressive across many different natural language processing (NLP) applications. Don’t forget to join our 25k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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LLM AI Research AI Researcher Large Language Models 117

Marktechpost

SEPTEMBER 26, 2023

Large language models (LLMs) have made tremendous strides in the last several months, crushing state-of-the-art benchmarks in many different areas. There has been a meteoric rise in people using and researching Large Language Models (LLMs), particularly in Natural Language Processing (NLP).

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AI Research AI Researcher Large Language Models Natural Language Processing 122

Marktechpost

JULY 4, 2023

Large language models, such as PaLM, Chinchilla, and ChatGPT, have opened up new possibilities in performing natural language processing (NLP) tasks from reading instructive cues.

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