Natural Language Generation (NLG)

OpenAI has recently announced the development of SearchGPT, a groundbreaking prototype that revolutionizes how users search for information online. This new AI-driven search feature...

Factory AI has released its latest innovation, Code Droid, a groundbreaking AI tool designed to automate and accelerate software development processes. This release signifies...

Researchers from Microsoft, the University of Massachusetts, Amherst, and the University of Maryland, College Park, address the challenge of understanding how Retrieval Augmented Generation...

In the fast-paced world of Artificial Intelligence (AI) and Machine Learning, staying updated with the latest trends, breakthroughs, and discussions is crucial. Reddit, the...

Introduction  Generative AI is evolving and getting popular. Since its introduction, new models and research papers are getting released almost every other day. The major...

Large language models (LLMs) that can comprehend and produce language similar to that of humans have been made possible by recent developments in natural...

The source code libraries available to the public are always evolving and expanding. Thus, it is hard for code models to stay up-to-date with...

Large language models are computer programs that can analyze and create text. They are trained using massive amounts of text data, which helps them...

Transformer models already trained can execute various downstream tasks with excellent performance before being used as model inference services. Such model inference services, however,...

Artificial intelligence research company Open AI has unveiled its most recent chatbot. This chatbot with AI capabilities, called ChatGPT, has been made available for...

The growth of over 100 remarkable language translation models and other advances linked to book summarizing or collaborative creative writing highlight recent advancements in...

Question answering is to learn predicting answers to a given question using machine learning. While many cutting-edge question-answering models perform well when asked simple...

For various applications, including question answering, textual entailment, and summarization, large pre-trained language models have demonstrated excellent text production capabilities. However, most work using...

Natural language models can model a text corpus C by learning the probability distribution p over all natural language strings Y∈C, with Y={y_1,y_2,y_3...,y_t}. For...

What all things would you expect from your most advanced text assistant, whether you are writing an academic report or a business email? It...

PaLM-SayCan is the first implementation that uses a large-scale language model to plan for a real robot. It is a novel approach that uses...

Language is also described as a mode of communication utilized by human beings as members of a social group, as participants of a cultural...

This Article is written as a summay by Marktechpost Staff based on the research paper 'RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question...

Software documentation is important because it helps developers and other stakeholders understand code. However, it can be time-consuming and expensive to produce. Junior engineers...

Large language models (LMs) provide novel opportunities for interface design. Large language models have undoubtedly advanced to the point where they may be compared...

While there are several benefits to using Artificial Intelligence, there are also drawbacks to this cutting-edge technology. One example is the creation of inappropriate...

This Article Is Based On The Amazon article 'Amazon releases 51-language dataset for language understanding'. All Credit For This Research Goes To The Amazon...

Pitch your startup story at [email protected] Please don't forget to join our ML Subreddit Need help in creating ML Research content for your lab/startup? Talk...

This summary article is based on the paper. 'Converse: A Tree-Based Modular Task-Oriented Dialogue System' and all credit goes to the authors of this...

This summary article is based on Amazon research 'Scalable framework lets multiple text-to-speech models coexist' Please don't forget to join our ML Subreddit Alexa and other...

This summary is based on Twitter's research 'Next generation data insights using natural language queries' Please don't forget to join our ML Subreddit Twitter processes over...

Please don't forget to join our ML Subreddit Imagine being able to tell a machine to write an app simply by telling it what the...

This research summary article is based on the paper 'Token Dropping for Efficient BERT Pretraining'. Please don't forget to join our ML Subreddit The Pretraining...

Many of us find it difficult to keep up with the daily flood of documents in our inboxes. These could be reports, reviews, briefs,...

A neural network that generates synthetic clinical data is in high demand, as it is a valuable resource that researchers may use to train...

Machines, without a doubt, are meant to work faster and more efficiently than humans. Artificial intelligence has totally changed market expectations and the speed...

Remark on the information before publishing the soccer results, "Look away now if you don't want to know the score." Consider what might happen...

Most enterprises are usually burdened with the task of manually entering data from consumer documents that are highly time-consuming and prone to errors and...

According to the World Health Organization (WHO), mental diseases impact one out of every four people at some point in their lives, according to...

Although lengthier texts contain a significant quantity of natural language in the wild, NLP benchmarks have always primarily focused on short texts, such as...

The need of the hour is a better conversational AI, not just AI assistants who can't do more than what has been fed. AI...

Fine-tuning is required for a range of functions performed by multimodal image–language transformers. Researchers worldwide are interested in whether these algorithms can detect verbs...

Recent research in natural language processing and computer vision has aimed to increase the efficiency of pre-trained models to reduce the financial and environmental...

Many critical recent developments in AI have been enabled by self-supervised learning. Machines learn by directly observing the world rather than being explicitly instructed...

In the last few decades, neural networks have been used for a wide range of tasks, including image segmentation, natural language processing, and time-series...

In recent years, voice-based virtual assistants such as Google Assistant and Amazon Alexa have grown popular. This has presented both potential and challenges for...

With recent breakthroughs in AI, humans have become more reliant on AI to address real-world problems. This makes humans' ability to learn and act...

Talking to one another is a natural way for people to engage. With advancing speech technology, people are now interacting with devices in day...

Natural language generation (NLG) is a broad term that encompasses a variety of tasks that generate fluent text from input data and other contextual...

Microsoft recently announced the launch of a new service that makes AI models from OpenAI available on Microsoft’s Azure platform. The company specifically mentions...

The emotions one experiences daily can motivate them to act and influence the significant and minor decisions they make in their lives. Therefore, they...

Language models use various statistical and probabilistic techniques to predict the probability of a given sequence of words appearing in a phrase. For this,...

OpenAI’s GPT-3 system is the best at many tasks, including question answering (QA), but it costs money and can only be used by approved...

Transformer-based language models have made rapid progress in many natural language processing (NLP) applications, thanks to the availability of large datasets, large computation at...

Artificial intelligence (AI) applications have a significant impact on our daily lives, making them easier. One of such applications is AI bots that are...

The Natural Language Processing (NLP) domain is experiencing remarkable growth in many areas, including search engines, machine translation, chatbots, home assistants and many more....

Convolutional neural networks (CNNs) are robust tools that use deep learning to perform generative and descriptive tasks such as image recognition. However, they require...

At present, advanced neural network architectures achieve state-of-the-art (SOTA) performance in many complex natural language processing (NLP) tasks. However, they struggle to capture the...

DoorDash is a logistic platform that delivers millions of orders every day with the help of its DeepRed system. In their recent blog, Data...

Training AI models is a crucial step in developing a precise and accurate model. In addition to requiring significant computing and engineering resources, most...

Web search is expected to evolve dramatically over the next decade, as it combines recent breakthroughs in artificial intelligence, particularly those relating to massive...

In recent years, Natural Language Processing (NLP) has evolved into a powerful field in AI. It finds applications in various tasks, including language translation,...

Today OpenAI is releasing a new and improved version of its Codex AI model to the public. Codex is a descendant of OpenAI's GPT-3,...

As a result of recent advances in Deep Learning (DL), deep learning neural networks (DNN) have been widely used to improve model performance in...

Genalog is an open-source, a cross-platform Python package that generates document images with synthetic noise that mimics scanned analog documents. Various text degradations can...

Baidu researchers published a paper on the 3.0 version of Enhanced Language RepresentatioN with Informative Entities (ERNIE), a deep-learning model for natural language processing...

Natural language processing (NLP) has made significant advancements in recent years, with applications in learning, comprehending, and generating human language content. However, one of...

Researchers at the University of California San Francisco have achieved promising results in their Brain-Computer Interface (BCI) project, demonstrating that someone with a severe...

Artificial intelligence (AI) models are widely used in countless real-time applications, and their demand is exponentially increasing worldwide. This demands firms to employ state-of-the-art...

One of the crucial ways to make it easier for customers to shop online today is to improve product recognition. People could one day...

Google researcher’s new study suggests modifying the conventional transformer architecture to process byte sequences in natural language processing (NLP). The new competitive byte-level models...

Google launches a Multitask Unified Model (MUM) that offers expert-like answers to user’s questions with fewer queries to complex tasks. With google search, one...

The Transformer architecture is widely adopted in performing Natural Language Processing (NLP) tasks. The Transformer’s self-attention mechanism connects each token in the input through...

Voice Conversion (VC) method used to modify the speaker's identity without altering the linguistic content. Non-linguistic information is vital for having natural (human-to-human) communication....

Aflorithmic, an audio content production company and digital human creators UneeQ have come together to synthesize the voice of legendary scientist Albert Einstein. The organizations...

In recent years, Natural language processing (NLP) techniques are adopted widely to solve the programming languages’ tasks to assist the software engineering process. A...

Ava is an AI-based startup headquartered in San Francisco, California, the United States. With the help of machine learning, Ava empowers around 400 million...

Open-domain long-on answering (LFQA) form questions a fundamental challenge in natural language processing (NLP) that involves retrieving documents relevant to a given query and...

Bot MD is a Singapore-based startup using artificial intelligence to power clinical assistants trained subjectively to provide hospital-specific content to the medical practitioners and...

Microsoft Azure AI technology has used 5G, augmented reality, artificial intelligence, and a Custom Neural Voice to bring the iconic character Bugs Bunny to...

The rising field of natural-language generation Research in natural language generation (NLG), a subset of artificial intelligence, is rising. NLG is a software process that...