Author: Tanushree Shenwai

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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.

Meet POTATO: A Free Easy-To-Use Web-Based Annotation Tool

It has always been challenging to launch an annotation effort. A team of researchers introduce The Portable Text Annotation tool (Potato), a web-based application...

MIT Researchers Introduce LiGO: A New Technique that Accelerates Training of Large Machine-Learning Models, Reducing the Monetary and Environmental Cost of Developing AI Applications

The transformer architecture has become a go-to choice for representing various domain structures. The empirical inductive biases of the transformer make it a good...

Web-Scale Data Has Driven Incredible Progress in AI, But Do We Really Need All That Data? Meet SemDeDup: A New Method to Remove Semantic...

The growth of self-supervised learning (SSL) applied to larger and larger models and unlabeled datasets has been a major factor in recent success in...

Meet Web Stable Diffusion: An AI Project That Brings Stable Diffusion Models To Web Browsers

Recently, artificial intelligence (AI) models have shown remarkable improvement. The open-source movement has made it simple for programmers to combine different open-source models to...

How A Language Model Decides What To Say Next? This New AI Method Called Tuned Lens Can Trace A Language Modelā€™s Prediction As It...

The excellent performance of transformers in computer vision and natural language processing justifies research into the internal representations of these systems. Methods that involve...

Speechmatics Introduces Ursa: A Speech-To-Text System That Delivers Unprecedented Performance Across A Diverse Range of Voices

Using computational linguistics, speech recognition software such as "speech to text" can decipher human speech and convert it into text. Speech-to-text has rapidly expanded...

Researchers From Stanford Release Alpaca: An Instruction-Following Model Based onĀ Meta AIĀ LLaMA 7B

There has been a rise in the efficacy of instruction-following models like GPT-3.5 (text-da Vinci-003), ChatGPT, Claude, and Bing Chat. These versions are now...

Researchers From Tsinghua University Introduce A Novel Machine Learning Algorithm Under The Meta-Learning Paradigm

Recent achievements in supervised tasks of deep learning can be attributed to the availability of large amounts of labeled training data. Yet it takes...

Together Releases The First Open-Source ChatGPT Alternative Called OpenChatKit

Together is creating the first distributed cloud designed specifically for handling huge foundation models. The company offers an intuitive platform combining data, models, and...

A New AI Research Introduces Multitask Prompt Tuning (MPT) For Transfer Learning

Pretrained language models (PLMs) have significantly improved on many downstream NLP tasks due to finetuning. While current PLMs can include hundreds of millions of...

Microsoft Research Introduces Visual ChatGPT That Incorporates Different Visual Foundation Models Enabling Users To Interact With ChatGPT

Recent years have seen remarkable advances in developing large language models (LLMs), including T5, BLOOM, and GPT-3. ChatGPT, based on InstructGPT, is a major...

Researchers From Stanford And DeepMind Come Up With The Idea of Using Large Language Models LLMs as a Proxy Reward Function

With the development of computing and data, autonomous agents are gaining power. The need for humans to have some say over the policies learned...

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