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. ").

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52

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.

Natural Language Processing 52

Natural Language Processing ChatGPT Generative AI BERT 52

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.

Neural Network 317

Neural Network Deep Learning AI AI 317

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.

LLM 105

LLM Natural Language Processing Large Language Models NLP 105

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.

Neural Network 104

Neural Network Natural Language Processing NLP AI 104

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

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 181

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.

Robotics 130

Robotics Computer Vision Natural Language Processing Algorithm 130

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.

Data Extraction 273

Data Extraction Neural Network Large Language Models NLP 273

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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LLM AI AI ChatGPT 261

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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Large Language Models Neural Network LLM ChatGPT 363

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

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 107

Machine Learning ChatGPT Natural Language Processing Categorization 107

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.

BERT 298

BERT NLP Neural Network Natural Language Processing 298

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.

Natural Language Processing 117

Natural Language Processing AI Researcher AI Research Continuous Learning 117

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.

Data Extraction 98

Data Extraction NLP Natural Language Processing Automation 98

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.

Large Language Models 111

Large Language Models LLM NLP Deep Learning 111

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

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.

NLP 98

NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

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.

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Artificial Intelligence Artificial Intelligence Robotics Neural Network 182

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.

Automation 189

Automation NLP Generative AI Natural Language Processing 189

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 119

Natural Language Processing NLP Large Language Models LLM 119

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.

Software Engineer 98

Software Engineer Machine Learning Neural Network Artificial Intelligence 98

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.

Explainability 126

Explainability Neural Network Natural Language Processing NLP 126

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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Explainability Explainable AI Natural Language Processing Prompt Engineer 105

Towards AI

APRIL 8, 2024

While numerous techniques have been explored, methods harnessing natural language processing (NLP) have demonstrated strong performance. Understanding Word2Vec Word2Vec is a pioneering natural language processing (NLP) technique that revolutionized the way we represent words in vector space.

Natural Language Processing 81

Natural Language Processing NLP Neural Network Algorithm 81

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.

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

Explosion

FEBRUARY 12, 2017

The Quora dataset is an example of an important type of Natural Language Processing problem: text-pair classification. Tackström, Oscar; Das, Dipanjan; Uszkoreit, Jakob (2016) A large annotated corpus for learning natural language inference Bowman, Samuel R.;

Neural Network 40

Neural Network Deep Learning Natural Language Processing NLP 40

Sebastian Ruder

AUGUST 18, 2019

Throughout its history, most of the major improvements on this task have been driven by different forms of transfer learning: from early self-supervised learning with auxiliary tasks ( Ando and Zhang, 2005 ) and phrase & word clusters ( Lin and Wu, 2009 ) to the language model embeddings ( Peters et al., 2017 ; Peters et al.,

NLP 75

NLP BERT Natural Language Processing Computational Linguistics 75

Towards AI

JULY 21, 2023

The Ninth Wave (1850) Ivan Aivazovsky NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.13.20 declassified Blast from the past: Check out this old (2017) blog post from Google introducing transformer models. Aere Perrenius Welcome back. Hope you enjoyed your week!

NLP 98

NLP Natural Language Processing Machine Learning ML 98

Towards AI

JULY 21, 2023

Photo by Will Truettner on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 07.26.20 The last known comms from 3301 came in April 2017 via Pastebin post. Last Updated on July 21, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI.

NLP 98

NLP Inference Engine Natural Language Processing Chatbots 98

AWS Machine Learning Blog

FEBRUARY 6, 2024

Transformers, BERT, and GPT The transformer architecture is a neural network architecture that is used for natural language processing (NLP) tasks. Encryption at rest and in transit has to be incorporated into the solution to meet these requirements.

Large Language Models 129

Large Language Models BERT NLP Data Scientist 129

Flipboard

FEBRUARY 5, 2023

First, to ensure expertise, we employ natural-language-processing tools to assist our content developers in auditing and improving our 100-odd courses in more than 40 different languages. Duolingo uses machine learning and other cutting-edge technologies to mimic these three qualities of a good tutor.

Machine Learning 182

Machine Learning AI AI Algorithm 182

Sebastian Ruder

JULY 31, 2020

Natural language processing (NLP) research predominantly focuses on developing methods that work well for English despite the many positive benefits of working on other languages. Most of the world's languages are spoken in Asia, Africa, the Pacific region and the Americas.

NLP 78

NLP Natural Language Processing Machine Learning ML 78

Unite.AI

FEBRUARY 22, 2024

ChatGPT is a prime example of the potential language models hold, with major players in the tech industry exploring language model integration with their products. NLP, or Natural Language Processing , is one of the industries that has extensively employed language models over the past few years.

NLP 130

NLP Natural Language Processing Large Language Models ChatGPT 130

Pragnakalp

JANUARY 1, 2024

Transformer models are a type of neural network architecture designed to process sequential material, such as sentences or time-series data. Since then, in the realms of AI and machine learning, transformer models have emerged as a groundbreaking approach to various language-related tasks.

Neural Network 52

Neural Network Natural Language Processing Convolutional Neural Networks NLP 52

Mlearning.ai

APRIL 21, 2023

Natural Language Processing Transformers, the neural network architecture, that has taken the world of natural language processing (NLP) by storm, is a class of models that can be used for both language and image processing. Not this Transformers!! ? as an alternative to RNN-based models.

Neural Network 52

Neural Network Natural Language Processing ChatGPT NLP 52

Snorkel AI

MARCH 1, 2023

This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Devlin et al.

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BERT Natural Language Processing Large Language Models Neural Network 83