Author: Tanushree Shenwai

Tanushree Shenwai
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https://www.marktechpost.com
Tanushree Shenwai is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Bhubaneswar. She is a Data Science enthusiast and has a keen interest in the scope of application of artificial intelligence in various fields. She is passionate about exploring the new advancements in technologies and their real-life application.

This AI Research Analyzes The Zero-Shot Learning Ability of ChatGPT by Evaluating It on 20 Popular NLP Datasets

By conditioning the model on suitable prompts, large language models (LLMs) have been proven to do a number of NLP tasks with zero-shot learning....

A New AI Research Investigates The Benefits of Training Expert Language Models Over Instruction Tuning

Multitaskprompted fine-tuning (MT), also known as instruction-tuned Language Models (LMs), has recently demonstrated the ability to generalize to unseen tasks. It was once believed...

A New Artificial Intelligence Study Shows How Large Language Models LLMs Like GPT-3 Can Learn A New Task From Just A Few Examples Without...

Based on the previous text, large language models (LMs) like GPT-3 are trained to predict the next token. A very flexible LM that can...

Google And Columbia University Researchers Introduce Mnemosyne Optimizer: A Learning-To-Learn System To Train Transformers With Transformers

While it may seem appealing to train ML optimizers, doing so is costly because the examples used to train these systems are optimization issues....

Salesforce AI Research Introduces BLIP-2: A Generic And Efficient Vision-Language Pre-Training Strategy That Bootstraps From Frozen Image Encoders And Frozen Large Language Models (LLMs)

Research on vision-language pretraining (VLP) has advanced quickly in the past few years. Pre-trained models of progressively bigger scale have been created to advance...

A New Artificial Intelligence (AI) Benchmark Called DeepPrivacy2 Provides Realistic Anonymization of Human Faces and Whole-Body

Many applications require collecting personally identifiable information, making image collection and storage commonplace. Recently enacted legislation in many jurisdictions makes it difficult to acquire...

UCLA Researchers Developed A New Deep Learning-Based Framework That Allows A Robot To Tackle Paper Folding And The Oriental Art of Origami

Everywhere we go, we come into contact with pliable, slim structures. Large deformations are a common feature of these structures when subjected to even...

Researchers at Sony Introduces M2FNet: A Multi-modal Fusion Network for Emotion Recognition in Conversation

Knowing how people engage with content is a crucial skill. Unseen mental states connected to thinking and feeling are called emotions. Without physical cues,...

A New AI-Based Method Called SparseGPT can Prune Generative Pretrained Transformer (GPT) Family Models in One Shot to at least 50% Sparsity

Amazing performance across many tasks has been demonstrated by the Generative Pretrained Transformer (GPT) family of large language models (LLMs). However, they are cumbersome...

Researchers Predict Semantically Meaningful and Calibrated Uncertainty Intervals in the Latent Space of a Generative Adversarial Network

There has been a continuous effort in the scientific and technological communities to raise the bar for the precision of measurements of all types,...

MIT Team Introduces Sybil: A Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography

Topping the list of the world's worst malignancies is lung cancer, which is expected to claim 1.7 million lives around the globe in 2020....

Microsoft AI Releases NTREX-128: A New Data Set for Machine Translation (MT) Evaluation from English into a Total of 128 Target Languages

Multilingual Neural Machine Translation (MNMT) reduces deployment costs by allowing a single system to translate sentences between several source and target languages. To gauge the...