IBM Journey to AI blog

NOVEMBER 10, 2023

Just in 2020, the Centers for Medicare and Medicaid Services (CMS) published a rule for healthcare systems whereby patients, providers, and payers must be able to easily exchange information. In the US, these inefficiencies contribute to an increasing healthcare system waste and challenges delivering cost-effective quality care.

AI 295

AI AI Natural Language Processing Automation 295

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

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

Towards AI

JULY 20, 2023

Jerome in his Study | Durer NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 03.14.21 example: And luckily, It’s also a dataset… And it’s an important dataset to consider the ambiguity of language. Set the Controls for the ♥ of the Sun NERD OVERLOAD Happy Pi Day!

NLP 98

NLP Deep Learning Data Analysis Natural Language Processing 98

Mlearning.ai

JUNE 7, 2023

Photo by Eugene Zhyvchik on Unsplash I wanted to share a short perspective of the radical evolution we have seen in NLP. I’ve been working on NLP problems since word2vec was released, and it has been remarkable to see how quickly the models, problems, and applications have evolved. GPT-2 released with 1.5

Natural Language Processing 52

Natural Language Processing BERT NLP ChatGPT 52

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. Each feature has 5.93

NLP 78

NLP Natural Language Processing Machine Learning ML 78

Sebastian Ruder

JANUARY 19, 2021

The selection of areas and methods is heavily influenced by my own interests; the selected topics are biased towards representation and transfer learning and towards natural language processing (NLP).  2020 saw the development of ever larger language and dialogue models such as Meena ( Adiwardana et al.,

NLP 52

NLP ML Computer Vision Neural Network 52

The MLOps Blog

MARCH 23, 2023

NLP models in commercial applications such as text generation systems have experienced great interest among the user. These models have achieved various groundbreaking results in many NLP tasks like question-answering, summarization, language translation, classification, paraphrasing, et cetera.

NLP 115

NLP LLM Large Language Models Natural Language Processing 115

Unite.AI

JULY 20, 2023

In 2020, Scalenut was founded in India by two tech enthusiasts: Gaurav Goyal and Mayank Jain. NLP Analysis Scalenut uses NLP (Natural Language Processing) AI to generate human-like content. NLP key terms. If Scalenut has piqued your interest, check out this Scalenut review! What is Scalenut?

NLP 245

NLP AI AI Natural Language Processing 245

IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. The process includes activities such as anomaly detection, event correlation, predictive analytics, automated root cause analysis and natural language processing (NLP).

Big Data 266

Big Data DevOps Automation Machine Learning 266

ODSC - Open Data Science

JUNE 9, 2023

2000–2015 The new millennium gave us low-rise jeans, trucker hats, and bigger advancements in language modeling, word embeddings, and Google Translate. The last 12 years though, is where some of the big magic has happened in NLP. GPT-3 (2020) This was the most recent and largest general GPT model, with 175 billion parameters.

Natural Language Processing 52

Natural Language Processing ChatGPT Generative AI BERT 52

NYU Center for Data Science

SEPTEMBER 28, 2023

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. A Vision for ML² In the beginning, ML² was simply the hub for NLP research at NYU.

Machine Learning 83

Machine Learning NLP ML Large Language Models 83

Probably Approximately a Scientific Blog

JANUARY 12, 2021

This long-overdue blog post is based on the Commonsense Tutorial taught by Maarten Sap, Antoine Bosselut, Yejin Choi, Dan Roth, and myself at ACL 2020. In NLP, dialogue systems generate highly generic responses such as “I don’t know” even for simple questions. Is commonsense knowledge already captured by pre-trained language models?

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52

Unite.AI

AUGUST 20, 2023

With its advanced algorithms and natural language processing capabilities, Copy.ai Copy AI is an AI writing tool that streamlines content generation and copywriting developed by Paul Yacoubian and Chris Lu in 2020. By the end of this blog, you will clearly understand whether Copy.ai is the right AI writing tool for you.

AI 246

AI AI Natural Language Processing Explainability 246

Explosion

DECEMBER 30, 2020

While 2020 hasn’t been easy for anyone, at Explosion we’ve considered ourselves relatively fortunate in this most interesting year. Feb 8: At PyCon Colombia, Ines was also interviewed by Karolina Ladino and they talked the history of spaCy, and how to get into programming, machine learning and NLP. May 11: ¡Hola!

NLP 52

NLP Python Machine Learning Natural Language Processing 52

Unite.AI

JANUARY 5, 2024

The World Economic Forum projects that from 2020 to 2025, the evolution of AI will lead to the disruption of 85 million jobs worldwide, while also generating 97 million new job opportunities. Up until now, their attention has been diverted from exploring things they would have liked to do in favor of tasks that must be completed.

UX Design 182

UX Design Artificial Intelligence Artificial Intelligence Algorithm 182

ODSC - Open Data Science

APRIL 3, 2023

Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language. QA is a critical area of research in NLP, with numerous applications such as virtual assistants, chatbots, customer support, and educational platforms. Euro) in 2021. Iryna Gurevych.

Neural Network 117

Neural Network Natural Language Processing NLP Computational Linguistics 117

Marktechpost

JULY 5, 2023

OpenAI’s GPT models have allowed major natural language processing (NLP) advancements. One machine learning model for NLP applications is the Generative Pre-trained Transformer (GPT). That makes them malleable for NLP applications such as question answering, translation, and text summarization.

Natural Language Processing 119

Natural Language Processing OpenAI NLP ChatGPT 119

Unite.AI

FEBRUARY 16, 2024

Since its launch in 2020, the Buddy app has won several awards and topped the charts in the App Store's Kids and Education category with over 36M downloads worldwide. We decided that Buddy would be a multimodal AI tutor – an animated pedagogical agent capable of voice recognition and natural language processing.

Natural Language Processing 173

Natural Language Processing AI AI UX Design 173

IBM Journey to AI blog

JULY 11, 2023

AI technologies like natural language processing (NLP), predictive analytics and speech recognition can lead to healthcare providers having more effective communication with patients, which can lead to better patient experience, care and outcomes. AI can also improve accessibility. According to the U.S.

Deep Learning 174

Deep Learning Artificial Intelligence Artificial Intelligence Natural Language Processing 174

Ehud Reiter

AUGUST 25, 2024

Many people in NLP seem to think that you need to work with the latest and trendiest technology in order to be relevant, both in research and in applications. At the time, the latest and trendiest NLP technology was LSTM (and variants such as biLSTM). LSTMs worked very well in lots of areas of NLP, including machine translation.

BERT 135

BERT NLP Natural Language Processing Prompt Engineer 135

AWS Machine Learning Blog

DECEMBER 14, 2023

For further insights into how Talent.com and AWS collaboratively built cutting-edge natural language processing and deep learning model training techniques, utilizing Amazon SageMaker to craft a job recommendation system, refer to From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker.

ETL 120

ETL Data Scientist Machine Learning Deep Learning 120

Heartbeat

JUNE 6, 2023

In recent years, researchers have also explored using GCNs for natural language processing (NLP) tasks, such as text classification , sentiment analysis , and entity recognition. This article provides a brief overview of GCNs for NLP tasks and how to implement them using PyTorch and Comet.

NLP 59

NLP Convolutional Neural Networks Neural Network Natural Language Processing 59

Unite.AI

DECEMBER 19, 2024

By integrating large language models (LLMs) to guide these interactions, PARTNR can assess robots on critical elements like coordination and task tracking, shifting them from mere agents to genuine partners capable of working fluidly with human counterparts. It will be a huge exercise to generalize for the 8.2

Robotics 113

Robotics Deep Learning AI AI 113

NVIDIA

NOVEMBER 15, 2023

The court clerk of AI is a process called retrieval-augmented generation, or RAG for short. That’s when researchers in information retrieval prototyped what they called question-answering systems, apps that use natural language processing ( NLP ) to access text, initially in narrow topics such as baseball.

Generative AI 145

Generative AI LLM Neural Network AI Modeling 145

Sebastian Ruder

AUGUST 23, 2021

Over the last years, models in NLP have become much more powerful, driven by advances in transfer learning. Does this mean that we have solved natural language processing? This post aims to give an overview of challenges and opportunities in benchmarking in NLP, together with some general recommendations.

NLP 52

NLP Natural Language Processing ML Deep Learning 52

Aiiot Talk

JULY 18, 2023

For example, AI and natural language processing (NLP) can be used to analyse data gathered from previous projects, meaning that construction companies do not need to start from scratch with every single pitch and can carry forward the benefit of experience gained through similar projects. “AI

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Natural Language Processing Machine Learning 130

ODSC - Open Data Science

SEPTEMBER 12, 2024

Now that artificial intelligence has become more widely accepted, some daring companies are looking at natural language processing (NLP) technology as the solution. billion in 2020 — a 1,549% increase in only a decade. When they need help deciphering or summarizing complex language, they can use NLP.

NLP 52

NLP Automation Machine Learning Data Science 52

Heartbeat

AUGUST 23, 2023

But what if there was a technique to quickly and accurately solve this language puzzle? Enter Natural Language Processing (NLP) and its transformational power. This is the promise of NLP: to transform the way we approach legal discovery. But exactly what is NLP , and how can it facilitate legal discovery?

NLP 52

NLP Natural Language Processing Algorithm Categorization 52

NYU Center for Data Science

SEPTEMBER 21, 2023

He researches NLP and human-AI collaboration and is advised by Assistant Professor of Computer Science & Data Science He He. During my MS at NYU, I did an internship at NYU’s Center for Social Media and Politics , and was introduced to my advisor, He He , which was how I started getting interested in natural language processing.

NLP 85

NLP Natural Language Processing Large Language Models Data Science 85

John Snow Labs

SEPTEMBER 12, 2024

Healthcare NLP employs advanced filtering techniques to refine entity recognition by excluding irrelevant entities based on specific criteria like whitelists or regular expressions. This approach is essential for ensuring precision in healthcare applications, allowing only the most relevant entities to be processed in your NLP pipelines.

NLP 52

NLP Natural Language Processing Large Language Models Python 52

Sebastian Ruder

JANUARY 6, 2020

This post gathers ten ML and NLP research directions that I found exciting and impactful in 2019.  Unsupervised pretraining was prevalent in NLP this year, mainly driven by BERT ( Devlin et al., 2019) find winning ticket initialisations also for LSTMs and Transformers in NLP and RL models. 2019 ) and other variants.

NLP 52

NLP ML Neural Network BERT 52

Unite.AI

JULY 26, 2023

Prompt Engineering is the art of crafting precise, effective prompts/input to guide AI ( NLP /Vision) models like ChatGPT toward generating the most cost-effective, accurate, useful, and safe outputs. Example: For brief answers to trivia questions like, “Who won the Nobel Prize in Literature in 2020?”

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Large Language Models 246

AWS Machine Learning Blog

APRIL 3, 2023

We also demonstrate how you can engineer prompts for Flan-T5 models to perform various natural language processing (NLP) tasks. Instruction tuning Instruction tuning is a technique that involves fine-tuning a language model on a collection of NLP tasks using instructions.

Natural Language Processing 102

Natural Language Processing NLP Prompt Engineer Prompt Engineering 102

IBM Journey to AI blog

OCTOBER 9, 2023

In the business world, AI could offer companies a competitive edge over peers slow to adopt machine learning, natural language processing (NLP) and generative capabilities. AI has also begun to provide concrete use cases indicating how the technology can help improve customer service in a tangible way.

Automation 138

Automation AI AI Natural Language Processing 138

Marek Rei

NOVEMBER 4, 2024

I have written short summaries of 68 different research papers published in the areas of Machine Learning and Natural Language Processing. They annotate a new test set of news data from 2020 and find that performance of certain models holds up very well and the field luckily hasn’t overfitted to the CoNLL 2003 test set.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

Mlearning.ai

FEBRUARY 19, 2023

You don’t need to have a PhD to understand the billion parameter language model GPT is a general-purpose natural language processing model that revolutionized the landscape of AI. GPT-3 is a autoregressive language model created by OpenAI, released in 2020 . What is GPT-3?

Auto-classification 52

Auto-classification Auto-complete Natural Language Processing NLP 52