Unite.AI

JULY 24, 2024

Over the past decade, advancements in machine learning, Natural Language Processing (NLP), and neural networks have transformed the field. In 2017, Apple introduced Core ML , a machine learning framework that allowed developers to integrate AI capabilities into their apps.

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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. The implications of SaulLM-7B's success extend far beyond academic benchmarks.

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IBM Journey to AI blog

JUNE 21, 2023

Learn more about watsonx Automated AI commentary built from foundation models IBM first pioneered the use of AI to curate video highlight reels in 2017, work that earned the IBM Consulting team a 2023 Emmy® Award.

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Probably Approximately a Scientific Blog

JANUARY 12, 2021

Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right). The neural component is the shiny new neural architecture - language models in the last 3 years, biLSTMs in the years prior, etc. The more interesting component is the combination method. She ordered foods. ").

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Towards AI

MARCH 3, 2025

Can machines understand human language? These questions are addressed by the field of Natural Language processing, which allows machines to mimic human comprehension and usage of natural language. Last Updated on March 3, 2025 by Editorial Team Author(s): SHARON ZACHARIA Originally published on Towards AI.

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ODSC - Open Data Science

JUNE 9, 2023

Once a set of word vectors has been learned, they can be used in various natural language processing (NLP) tasks such as text classification, language translation, and question answering. GloVe uses a different approach than word2vec and learns word vectors by training on co-occurrence matrices.

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Unite.AI

JANUARY 9, 2024

Apple prioritizes computer vision , natural language processing , voice recognition, and healthcare to enhance its products. Likewise, Microsoft strengthens its cloud and enterprise software through acquisitions in natural language processing , computer vision , and cybersecurity.

Natural Language Processing 147

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AssemblyAI

MARCH 21, 2023

Top 50 keywords in submitted research papers at ICLR 2022 ( source ) A recent bibliometric study systematically analysed this research trend, revealing an exponential growth of published research involving GNNs, with a striking +447% average annual increase in the period 2017-2019.

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Flipboard

MAY 10, 2023

They have published upwards of 1,000 research papers in the fields of natural language processing , computer vision , common sense reasoning , and other key components of artificial intelligence. Researchers help startup founders at the incubator test ideas and develop and train AI models.

Artificial Intelligence 181

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Towards AI

FEBRUARY 21, 2025

The Large Language Models have changed the face of Natural Language Processing by enabling machines to generate human-like copies of text, translate languages, summarize texts, and perform a multitude of other tasks. Author(s): Veritas AI Originally published on Towards AI. This member-only story is on us.

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Towards AI

FEBRUARY 6, 2024

Photo by Johannes Plenio on Unsplash Since the 2017 paper “Attention Is All You Need” invented the Transformer architecture, natural language processing (NLP) has seen tremendous growth. And with the release of ChatGPT in November 2022, large language models (LLMs) has captured everyone’s interest.

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Towards AI

FEBRUARY 20, 2024

The state-of-the-art Natural Language Processing (NLP) models used to be Recurrent Neural Networks (RNN) among others. Transformer architecture significantly improved natural language task performance compared to earlier RNNs. Exploring the encoder-decoder magic in NLP behind LLMsImage created by the author.

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Unite.AI

SEPTEMBER 20, 2023

Transformers in NLP In 2017, Cornell University published an influential paper that introduced transformers. This discovery fueled the development of large language models like ChatGPT. In this guide, we'll introduce transformers, LLMs and how the Hugging Face library plays an important role in fostering an opensource AI community.

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Marktechpost

FEBRUARY 21, 2024

In the past few years, generalist AI systems have shown remarkable progress in the field of computer vision and natural language processing and are widely used in many real-world settings, such as robotics, video generation, and 3D asset creation. Their capabilities lead to better efficiency and an enhanced user experience.

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Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. This architecture enables parallel computations and adeptly captures long-range dependencies, unlocking new possibilities for language models.

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Data Extraction Neural Network Large Language Models NLP 273

Unite.AI

JANUARY 6, 2025

In 2017, Frances presidential race was rocked by a last-minute dump of hacked documents , amplified by suspiciously coordinated social media activity. 20172018: High-Profile Exposs and Indictments In 2017 , the French Presidential Election was targeted by bot networks spreading misleading documents and slander about candidates.

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Topbots

JUNE 22, 2023

SA is a very widespread Natural Language Processing (NLP). SemEval 2017 Task 5 — A domain-specific challenge SemEval ( Sem antic Eval uation) is a renowned NLP workshop where research teams compete scientifically in sentiment analysis, text similarity, and question-answering tasks. finance, entertainment, psychology).

Machine Learning 111

Machine Learning ChatGPT Natural Language Processing Categorization 111

Unite.AI

AUGUST 5, 2024

Machine-learning systems can be broken down by their application (video, images, natural language, etc). Among these, we’ve seen the greatest recent strides made in natural language processing. Once the model exceeds 7 billion parameters, it is generally referred to as a large language model (LLM).

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Unite.AI

JUNE 27, 2024

AI Categories in CRE Colliers has identified six primary categories of AI that are currently being utilized or expected to be adopted soon: Natural Language Processing (NLP) – Understands, generates, and interacts with human language. According to the data: 33% plan to implement AI within the next two years.

Machine Learning 145

Machine Learning Natural Language Processing Automation Computer Vision 145

AssemblyAI

MAY 3, 2023

The core process is a general technique known as self-supervised learning , a learning paradigm that leverages the inherent structure of the data itself to generate labels for training. This concept is not exclusive to natural language processing, and has also been employed in other domains.

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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.

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Marktechpost

JULY 11, 2024

Overcoming this challenge is essential for advancing AI research, as it directly impacts the feasibility of deploying large-scale models in real-world applications, such as language modeling and natural language processing tasks. 2017) and Lepikhin et al.

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Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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Marktechpost

SEPTEMBER 17, 2024

Large language models (LLMs) have seen remarkable success in natural language processing (NLP). This paper follows the PRISMA approach to provide an overview of language modeling development and explores commonly used frameworks and libraries.

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ODSC - Open Data Science

MARCH 10, 2025

By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow. Researchers and practitioners explored complex architectures, from transformers to reinforcement learning , leading to a surge in sessions on natural language processing (NLP) and computervision.

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Unite.AI

SEPTEMBER 26, 2024

The momentum continued in 2017 with the introduction of transformer models like BERT and GPT, which revolutionized natural language processing. Then, in 2015, Google released TensorFlow, a powerful tool that made advanced machine learning libraries available to the public.

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

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NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

Towards AI

AUGUST 25, 2023

Packt, ISBN: 978–1787125933, 2017. O’Reilly Media, ISBN: 978–1491957660, 2017. Natural Language Processing with Python — Analyzing Text with the Natural Language Toolkit. Mirjalili, Python Machine Learning, 2nd ed. Klein, and E. Jurafsky and J.

Machine Learning 98

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Unite.AI

OCTOBER 27, 2023

Stiglitz, will lead to the transformation of civilization (Stiglitz, 2017). All moral attitudes, feelings, and desires of such a “person” become derived from human intelligence (Uzhov, 2017). Such a symbiosis will involve cooperation between humans and “smart” machines, which, according to Nobel Prize-winning economist J.

Artificial Intelligence 182

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AWS Machine Learning Blog

JULY 9, 2024

of its consolidated revenues during the years ended December 31, 2019, 2018 and 2017, respectively. Sonnet made key improvements in visual processing and understanding, writing and content generation, natural language processing, coding, and generating insights. As pointed out in Anthropic’s Claude 3.5

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Towards AI

SEPTEMBER 7, 2023

The encoder will process the sentence word by word (technically token by token as per Natural Language Processing (NLP) terminology). Transformer Architecture The first transformer was introduced in a paper in 2017. Figure 1: Image courtesy [link] Figure 1 shows an example of French to English-translation.

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Unite.AI

MARCH 21, 2024

In the world of natural language processing (NLP), the pursuit of building larger and more capable language models has been a driving force behind many recent advancements.

Large Language Models 147

Large Language Models Neural Network Natural Language Processing LLM 147

AWS Machine Learning Blog

NOVEMBER 9, 2023

Her research interests lie in Natural Language Processing, AI4Code and generative AI. She received her PhD from Virginia Tech in 2017. He received his PhD from University of Illinois at Urbana-Champaign in 2017. His research interests lie in the area of AI4Code and Natural Language Processing.

Natural Language Processing 112

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Unite.AI

FEBRUARY 8, 2024

So, In 2017, we took our national intelligence agency experience and began to make this happen with the mission of helping organizations prevent breaches, by continuously mapping their external exposure blind spots and finding the paths of least resistance into their internal networks.

NLP 189

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Towards AI

OCTOBER 19, 2024

It’s particularly useful in natural language processing [3]. Kim, “Towards A Rigorous Science of Interpretable Machine Learning,” arXiv preprint arXiv:1702.08608, 2017. [2] Techniques for Peering into the AI Mind Scientists and researchers have developed several techniques to make AI more explainable: 1. References [1] F.

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Unite.AI

FEBRUARY 29, 2024

The field of artificial intelligence (AI) has seen immense progress in recent years, largely driven by advances in deep learning and natural language processing (NLP). Gemma inherits the transformer's ability to model long-range dependencies in text.

NLP 147

NLP AI AI Natural Language Processing 147

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. Its design allowed the model to consider the context from both the left and the right sides of each word.

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