John Snow Labs

MAY 10, 2023

Despite the laborious nature of the task, the notes are not structured in a way that can be effectively analyzed by a computer. Without Natural Language Processing, the unstructured data is of no use to modern computer-based algorithms. This tool makes chart review of narrative text notes from EHRs easier.

Natural Language Processing 52

Natural Language Processing NLP Categorization Big Data 52

Unite.AI

MARCH 24, 2024

Bridging the Gap with Natural Language Processing Natural Language Processing (NLP) stands at the forefront of bridging the gap between human language and AI comprehension. NLP enables machines to understand, interpret, and respond to human language in a meaningful way.

Neural Network 354

Neural Network Robotics Natural Language Processing NLP 354

Analytics Vidhya

AUGUST 17, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: [link] Natural language processing has been an area of research. The post Predict the next word of your text using Long Short Term Memory (LSTM) appeared first on Analytics Vidhya.

Natural Language Processing 330

Natural Language Processing Data Science Deep Learning NLP 330

Unite.AI

FEBRUARY 27, 2024

Unlike traditional AI, which focuses on processing data and executing tasks, empathetic AI delves into the nuances of human emotional expression, aiming to discern the underlying feelings and emotional states behind human interactions. Woebot effectively reduces depressive symptoms, offering a scalable and accessible mental health solution.

Natural Language Processing 246

Natural Language Processing Artificial Intelligence Artificial Intelligence AI 246

AI News

JUNE 30, 2023

The city’s vibrant technology ecosystem, welcoming regulatory environment, and thriving community of innovators make it the perfect hub for OpenAI to advance its cutting-edge research and engineering capabilities.

OpenAI 225

OpenAI Natural Language Processing Big Data AI Researcher 225

Marktechpost

JANUARY 29, 2024

The evolution of language models is a critical component in the dynamic field of natural language processing. The core challenge tackled in this area is refining model efficiency, particularly in managing lengthy data sequences. All credit for this research goes to the researchers of this project.

Natural Language Processing 133

Natural Language Processing ML Large Language Models Artificial Intelligence 133

Unite.AI

APRIL 4, 2024

Time series forecasting plays a vital role in crucial decision-making processes across various industries such as retail, finance, manufacturing, and healthcare. TimesFM : Developed by Google Research, TimesFM is a decoder-only foundational model with 200 million parameters.

Data Analysis 226

Data Analysis Natural Language Processing Artificial Intelligence Artificial Intelligence 226

Marktechpost

FEBRUARY 22, 2024

In Natural Language Processing (NLP), recurrent neural networks and Transformers can learn the intricacies of language from vast amounts of unsupervised text generated by humans. A seminal concept in this area is Weak-to-Strong Generalization (WSG), which explores using weaker models to supervise stronger ones.

Natural Language Processing 128

Natural Language Processing Computer Vision Neural Network Categorization 128

Marktechpost

MAY 4, 2024

It has revolutionized domains such as image recognition, natural language processing, and personalized recommendations. This lack of interpretability is particularly concerning in sensitive areas like healthcare, finance, and law, where understanding the rationale behind decisions is crucial.

Large Language Models 131

Large Language Models Natural Language Processing Machine Learning AI 131

Marktechpost

MAY 11, 2024

With the significant advancement in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP), Large Language Models (LLMs) like GPT have gained attention for producing fluent text without explicitly built grammar or semantic modules. Check out the Paper.

Large Language Models 130

Large Language Models NLP Data Scarcity Computational Linguistics 130

AI Weekly

JANUARY 18, 2024

Connect with 5,000+ attendees including industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies. Connect with 5,000+ attendees including industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies.

Robotics 207

Robotics Artificial Intelligence Artificial Intelligence Machine Learning 207

Marktechpost

MARCH 26, 2024

Large language models (LLMs) are at the forefront of technological advancements in natural language processing, marking a significant leap in the ability of machines to understand, interpret, and generate human-like text. These instances are crucial as they highlight the model’s specific areas of weakness.

Large Language Models 133

Large Language Models Data Scarcity Natural Language Processing LLM 133

Marktechpost

APRIL 7, 2024

The fields of Natural Language Processing (NLP) and Natural Language Generation (NLG) have undergone amazing transformations since the introduction of Large Language Models (LLMs) and multimodal foundation models. All credit for this research goes to the researchers of this project.

Artificial Intelligence 140

Artificial Intelligence Artificial Intelligence Algorithm Natural Language Processing 140

Marktechpost

MAY 3, 2024

The researchers behind this study propose a new technique called multi-token prediction. Imagine it like this: While learning a language, instead of guessing one word at a time, you’re challenged to predict entire phrases or even sentences. The researchers conducted extensive experiments, and the results are quite promising.

Natural Language Processing 131

Natural Language Processing AI AI ML 131

Marktechpost

FEBRUARY 2, 2024

A new study by researchers from MIT and Harvard University have developed new insights to predict how the human brain responds to language. The researchers emphasized that this can be the first AI model to effectively drive and suppress responses in the human language network.

Natural Language Processing 119

Natural Language Processing Machine Learning LLM Artificial Intelligence 119

Marktechpost

JANUARY 6, 2024

Recently, GPT-4 and other Large Language Models (LLMs) have demonstrated an impressive capacity for Natural Language Processing (NLP) to memorize extensive amounts of information, possibly even more so than humans. The primary goal of this work is to survey the history and current state of knowledge editing for LLMs.

Large Language Models 128

Large Language Models Natural Language Processing LLM AI 128

Marktechpost

APRIL 10, 2024

The abundance of web-scale textual data available has been a major factor in the development of generative language models, such as those pretrained as multi-purpose foundation models and tailored for particular Natural Language Processing (NLP) tasks. All credit for this research goes to the researchers of this project.

Machine Learning 131

Machine Learning Natural Language Processing Categorization NLP 131

Marktechpost

MARCH 5, 2024

In recent years, the landscape of natural language processing (NLP) has been dramatically reshaped by the emergence of Large Language Models (LLMs). This strategy involves analyzing the entire image to grasp the macro context, identifying important areas, and then zooming into these regions for a detailed examination.

Large Language Models 130

Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 130

Marktechpost

JANUARY 18, 2024

With the advancements in Natural Language Processing and Natural Language Generation, Large Language Models (LLMs) are being frequently used in real-world applications. With their ability to mimic human behavior, these models, with their general-purpose nature, have stepped into every field and domain.

Natural Language Processing 105

Natural Language Processing Large Language Models LLM AI 105

Marktechpost

JANUARY 8, 2024

Researchers from Shaanxi Normal University, Northwestern Polytechnical University, and The University of Georgia intensively reviewed LLMs to provide excellent insight into their journey. Expanding LLMs into processing multimodal data, including text, images, audio, and video. Check out the Paper.

Large Language Models 119

Large Language Models Natural Language Processing Neural Network Automation 119

Marktechpost

MARCH 2, 2024

Large Language Models (LLMs) have significantly evolved in recent times, especially in the areas of text understanding and generation. All credit for this research goes to the researchers of this project. However, there have been certain difficulties in optimizing LLMs for more effective human instruction delivery.

Large Language Models 138

Large Language Models Artificial Intelligence Artificial Intelligence AI Researcher 138

Marktechpost

SEPTEMBER 4, 2023

With the growing advancements in the field of Artificial Intelligence, its sub-fields, including Natural Language Processing, Natural Language Generation, Computer Vision, etc., Optical Character Recognition (OCR) is a well-established and heavily investigated area of computer vision.

Computer Vision 137

Computer Vision Natural Language Processing Artificial Intelligence Artificial Intelligence 137

IBM Journey to AI blog

JANUARY 15, 2024

It can empower government workers with more powerful tools for answering questions and conducting research. Last year, the US Department of State sought feedback on the challenges and security considerations of introducing generative and natural language processing AI into its network.

Generative AI 173

Generative AI Responsible AI AI AI 173

Marktechpost

FEBRUARY 9, 2024

In the ever-evolving landscape of natural language processing (NLP), the quest to bridge the gap between machine interpretation and the nuanced complexity of human language continues to present formidable challenges. The research highlights the ongoing need for language model training and development innovation.

Large Language Models 137

Large Language Models Natural Language Processing NLP AI 137

Flipboard

NOVEMBER 7, 2023

Recent advances in computer vision (CV) and natural language processing have been driven by exploiting big data on practical applications. However, these research fields are still limited by the sheer volume, versatility, and diversity of the available datasets.

Natural Language Processing 65

Natural Language Processing Computer Vision Big Data Artificial Intelligence 65

Marktechpost

FEBRUARY 4, 2024

Natural Language Processing (NLP) is one area where Large transformer-based Language Models (LLMs) have achieved remarkable progress in recent years. The LLM then processes these altered grid tokens similarly to how textual word processing works, which helps with the generative modeling process of LLMs.

Natural Language Processing 132

Natural Language Processing LLM Robotics NLP 132

Marktechpost

FEBRUARY 20, 2024

In the evolving landscape of artificial intelligence, the challenge of enabling language models, specifically transformers, to effectively process and understand sequences of varying lengths has emerged as a critical area of research. The impact of this research is underscored by the notable results it achieved.

Natural Language Processing 119

Natural Language Processing Artificial Intelligence Artificial Intelligence Algorithm 119

Marktechpost

OCTOBER 13, 2023

LLMs have excelled in reasoning and adaptability tasks, including natural language processing and complex environments. Researchers from the University of Illinois at Urbana-Champaign introduce LATS, a framework harnessing the capabilities of LLMs for decision-making, planning, and reasoning. Check out the Paper.

Large Language Models 137

Large Language Models Natural Language Processing Algorithm AI Researcher 137

Marktechpost

FEBRUARY 14, 2024

The seamless integration of Large Language Models (LLMs) into the fabric of specialized scientific research represents a pivotal shift in the landscape of computational biology, chemistry, and beyond. Addressing this challenge, a groundbreaking framework developed at Microsoft Research, TAG-LLM, emerges. Check out the Paper.

LLM 131

LLM Natural Language Processing Large Language Models AI 131

Marktechpost

FEBRUARY 29, 2024

Large Language Models (LLMs) have extended their capabilities to different areas, including healthcare, finance, education, entertainment, etc. These models have utilized the power of Natural Language Processing (NLP), Natural Language Generation (NLG), and Computer Vision to dive into almost every industry.

Large Language Models 132

Large Language Models LLM Machine Learning Natural Language Processing 132

Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans.

Large Language Models 138

Large Language Models Neural Network Natural Language Processing LLM 138

Marktechpost

DECEMBER 10, 2023

Natural language processing (NLP) has entered a transformational period with the introduction of Large Language Models (LLMs), like the GPT series, setting new performance standards for various linguistic tasks. The research team refers to this improved method as D-iGPT. top-1 classification accuracy.

Computer Vision 126

Computer Vision BERT Natural Language Processing Large Language Models 126

Unite.AI

FEBRUARY 19, 2024

It can address process debt effectively when business technologists have clear automation goals and use tools judiciously as needed. According to Precedence Research, the hyperautomation market size will hit USD 197.58 Simply put, it is a superior iteration of intelligent automation. trillion by 2026. billion by 2032. billion by 2032.

Automation 182

Automation Neural Network Natural Language Processing Robotics 182

IBM Journey to AI blog

APRIL 18, 2024

A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

Neural Network 238

Neural Network LLM AI AI 238

Marktechpost

JANUARY 20, 2024

The emergence of large language models (LLMs) like GPT, Claude, Gemini, LLaMA, Mistral, etc., has greatly accelerated recent advances in natural language processing (NLP). The researchers also update other sparse model weights using the QLoRA methodology, a popular PEFT method. Camelidae-8Ï34B outperforms GPT-3.5

Large Language Models 114

Large Language Models Neural Network Natural Language Processing Artificial Intelligence 114

Marktechpost

JUNE 29, 2023

Built on Natural Language Processing and Natural Language Understanding, it answers questions, generates unique and creative content, summarizes lengthy texts, completes codes and emails, and so on. All Credit For This Research Goes To the Researchers on This Project.

Large Language Models 105

Large Language Models Natural Language Processing Neural Network LLM 105

Marktechpost

DECEMBER 7, 2023

Can We Optimize Large Language Models More Efficiently? The researchers encourage suggestions for additional references, acknowledging the potential oversight of relevant studies. LLMs play a vital role in natural language understanding. All credit for this research goes to the researchers of this project.

Large Language Models 111

Large Language Models LLM Algorithm Natural Language Processing 111