Unite.AI

AUGUST 3, 2023

Established in 2017, the company harnesses ambient AI, machine learning , and rules-based natural language processing to generate medical documentation automatically. Suki's natural language processing capability allows doctors to speak naturally without having to memorize specific commands.

Natural Language Processing 246

Natural Language Processing Robotics AI AI 246

Analytics Vidhya

MARCH 22, 2023

Introduction Source: App Inventiv Like other industries, 2020 (the COVID-19 pandemic) was a rough patch for the insurance industry. But even then, the phase proved to be a turning point that reinforced the importance of technology, especially Machine Learning and Artificial Intelligence.

Machine Learning 284

Machine Learning Artificial Intelligence Artificial Intelligence AI 284

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. Dec 4: For KDNuggets , Ines shared her perspective on AI and Machine Learning developments in 2020 and key trends for 2021. ? Here’s a look back at what we’ve been up to.

NLP 52

NLP Python Machine Learning Natural Language Processing 52

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 324

AI AI Natural Language Processing Automation 324

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 122

Robotics Computer Vision Natural Language Processing Algorithm 122

Unite.AI

JANUARY 2, 2024

Large Language Models (LLMs) have contributed to advancing the domain of natural language processing (NLP), yet an existing gap persists in contextual understanding. In 2020, Meta introduced the RAG framework to extend LLMs beyond their training data. How Retrieval Augmented Generation Works?

LLM 243

LLM Large Language Models Chatbots Natural Language Processing 243

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. This approach allows model size to be decoupled from computational cost.

Natural Language Processing 107

Natural Language Processing AI Researcher AI Research Continuous Learning 107

AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics. voxeurop.eu

Neural Network 204

Neural Network Convolutional Neural Networks Robotics Deep Learning 204

Unite.AI

OCTOBER 19, 2023

” Source The above timeline highlights major GenAI advancements from 2020 to 2023. Conclusion As the world rapidly advances in its utilization of Large Language Models (LLMs), understanding their inner workings, vulnerabilities, and defense mechanisms is crucial. However, with their vast potentials come substantial risks.

Prompt Engineer 277

Prompt Engineer Prompt Engineering Large Language Models LLM 277

Unite.AI

SEPTEMBER 21, 2023

million in 2020. AI systems can process large amounts of data to learn patterns and relationships and make accurate and realistic predictions that improve over time. According to Fortune Business Insights, the global AI and blockchain market value is projected to grow to $930 million by 2027 , compared to $220.5

Convolutional Neural Networks 289

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

AWS Machine Learning Blog

DECEMBER 14, 2023

Our pipeline belongs to the general ETL (extract, transform, and load) process family that combines data from multiple sources into a large, central repository. The following is the sample code to schedule a SageMaker Processing job for a specified day, for example 2020-01-01, using the SageMaker SDK. session.Session().region_name

ETL 107

ETL Data Scientist Machine Learning Deep Learning 107

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 278

Big Data DevOps Automation Machine Learning 278

Flipboard

NOVEMBER 20, 2024

She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI. With a strong background in machine learning and natural language processing, Ishan specializes in developing safe and responsible AI systems that drive business value.

Metadata 157

Metadata LLM Natural Language Processing Generative AI 157

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

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 75

Data Extraction NLP Natural Language Processing Automation 75

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

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

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

Ehud Reiter

AUGUST 25, 2024

” BERT/BART/etc can be used in data-to-text, but may not be best approach Around 2020 LSTMs got replaced by fine-tuned transformer language models such as BERT and BART. seemed to think that ACL was about neural language models, not about natural language processing in the wider sense.

BERT 135

BERT NLP Natural Language Processing Prompt Engineer 135

Unite.AI

SEPTEMBER 16, 2024

The Evolution of OpenAI: From GPT-1 to the Revolutionary o1 Model Since its inception, OpenAI has developed several groundbreaking models, setting new standards in natural language processing and understanding. The efforts began with GPT-1 in 2018, demonstrating the potential of transformer-based models for language tasks.

OpenAI 124

OpenAI Natural Language Processing Artificial Intelligence Artificial Intelligence 124

Marktechpost

JULY 5, 2023

OpenAI’s GPT models have allowed major natural language processing (NLP) advancements. These models are pre-trained on large volumes of information, such as books and websites, to produce natural-sounding, well-structured text. Models are regularly updated to reflect the most recent advances in technology.

Natural Language Processing 119

Natural Language Processing OpenAI NLP ChatGPT 119

ODSC - Open Data Science

JUNE 13, 2023

People use a variety of expressions and languages mixed with their personal style of communication. billion social media users worldwide in 2021, which marks a five percent increase from 2020. Other platforms such as YouTube reported reaching two billion users in October 2020 with a revenue of USD 19.8 billion in 2017 to 3.78

Data Science 52

Data Science Natural Language Processing Python Machine Learning 52

NVIDIA

MARCH 27, 2024

The benchmarks cover today’s most popular AI workloads and scenarios, including generative AI, recommendation systems, natural language processing, speech and computer vision.

Generative AI 128

Generative AI Large Language Models LLM Natural Language Processing 128

Sebastian Ruder

NOVEMBER 14, 2022

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. In particular, languages and scripts that were never seen during pre-training often lead to poor performance [29] [30].

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

Pickl AI

JULY 24, 2024

” During this time, researchers made remarkable strides in natural language processing, robotics, and expert systems. Notable achievements included the development of ELIZA, an early natural language processing program created by Joseph Weizenbaum, which simulated human conversation.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing Neural Network 52

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

Bugra Akyildiz

NOVEMBER 17, 2024

Vision Transformers(ViT) ViT is a type of machine learning model that applies the transformer architecture, originally developed for natural language processing, to image recognition tasks. 2020) EBM : Explainable Boosting Machine (Nori, et al. and 8B base and chat models, supporting both English and Chinese languages.

Convolutional Neural Networks 52

Convolutional Neural Networks Metadata Computer Vision Python 52

ODSC - Open Data Science

APRIL 3, 2023

Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language. Her main research interests are in machine learning for large-scale language understanding and text semantics. Don’t worry, you’re not alone! Iryna’s work has received numerous awards.

Neural Network 117

Neural Network Natural Language Processing NLP Computational Linguistics 117

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

AWS Machine Learning Blog

OCTOBER 30, 2024

These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval. For this demonstration, we use a public Amazon product dataset called Amazon Product Dataset 2020 from a kaggle competition.

BERT 94

BERT Categorization Data Scientist Machine Learning 94

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 188

Deep Learning Artificial Intelligence Artificial Intelligence Natural Language Processing 188

NYU Center for Data Science

SEPTEMBER 21, 2023

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. Then in 2020, I started my PhD. The introduction of large language models changed the direction of your research?

NLP 81

NLP Natural Language Processing Large Language Models Data Science 81

Topbots

JUNE 15, 2023

Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. 2 ] Multilingual models perform worse on several NLP tasks on low resource languages than on high resource languages such as English.[

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59

Towards AI

JULY 21, 2023

Photo by Kunal Shinde on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.09.20 Language diversity Estimate the language diversity of the sample of languages you are studying (Ponti et al., Research Work on methods that address the challenges of low-resource languages.

NLP 80

NLP Auto-complete Natural Language Processing BERT 80

Sebastian Ruder

FEBRUARY 24, 2021

Fine-tuning a pre-trained language model (LM) has become the de facto standard for doing transfer learning in natural language processing. 2018 ) while pre-trained language models are favoured over models trained on translation ( McCann et al., 2018 ), natural language inference ( Conneau et al.,

Natural Language Processing 52

Natural Language Processing BERT NLP Computer Vision 52

Viso.ai

FEBRUARY 25, 2023

Transformer models have become the de-facto status quo in Natural Language Processing (NLP). For example, the popular ChatGPT AI chatbot is a transformer-based language model. They are based on the transformer architecture, which was originally proposed for natural language processing (NLP) in 2017.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52