Author: Tanya Malhotra

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Tanya Malhotra is a final year undergrad from the University of Petroleum & Energy Studies, Dehradun, pursuing BTech in Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning. She is a Data Science enthusiast with good analytical and critical thinking, along with an ardent interest in acquiring new skills, leading groups, and managing work in an organized manner.

Meet ProPainter: An Improved Video Inpainting (VI) AI Framework With Enhanced Propagation And An Efficient Transformer

The field of Artificial Intelligence is evolving like anything. One of its primary sub-fields, well-known Computer Vision, has gained a significant amount of attention...

ETH Zurich Researchers Introduce the Fast Feedforward (FFF) Architecture: A Peer of the Feedforward (FF) Architecture that Accesses Blocks of its Neurons in Logarithmic...

The introduction of incredible Large Language Models (LLMs) has been nothing short of groundbreaking in the field of Artificial Intelligence. The way humans engage...

How Green is AI? Comparing the Carbon Footprint of Artificial Intelligence and Human Tasks

In recent years, Artificial Intelligence (AI) has made impressive strides, and its applications have spread to a variety of industries, including healthcare, banking, transportation,...

UCSD Researchers Open-Source Graphologue: A Unique AI Technique That Transforms Large Language Models Such As GPT-4 Responses Into Interactive Diagrams In Real-Time

Large Language Models (LLMs) have recently gained immense popularity due to their accessibility and remarkable ability to generate text responses for a wide range...

Researchers from UCI and Zhejiang University Introduce Lossless Large Language Model Acceleration via Self-Speculative Decoding Using Drafting And Verifying Stages

Large Language Models (LLMs) based on transformers, such as GPT, PaLM, and LLaMA, have become widely used in a variety of real-world applications. These...

Meet AudioSR: A Plug & Play and One-for-All AI Solution for Upsampling Audio to Incredible 48kHz Quality

A key challenge in the field of digital audio processing is audio super-resolution. It aims to enhance the quality of audio signals by anticipating...

Researchers from the University of Pennsylvania Introduce Kani: A Lightweight, Flexible, and Model-Agnostic Open-Source AI Framework for Building Language Model Applications

Large Language model applications have witnessed a surge in popularity. With their amazing capabilities, they are becoming increasingly sophisticated. By incorporating features like tool...

Can Large Language Models Self-Evaluate for Safety? Meet RAIN: A Novel Inference Method Transforming AI Alignment and Defense Without Finetuning

Pre-trained Large Language Models (LLMs), like GPT-3, have proven to have extraordinary aptitudes for comprehending and replying to questions from humans, helping with coding...

Meet DiffBIR: An AI Approach That Addresses The Blind Image Restoration Problem Using Pretrained Text-To-Image Diffusion Models

With the significant advancement in the field of Artificial Intelligence, the sub-fields of AI, including Natural Language Processing, Natural Language Understanding, Computer Vision, etc.,...

Google DeepMind Research Explores the Puzzling Phenomenon of Grokking in Neural Networks: Unveiling the Interplay Between Memorization and Generalization

The traditional theory of how neural networks learn and generalize is put to the test by the occurrence of grokking in neural networks. When...

Enhancing GPT-4 Summarization Through Chain of Density Prompts

Large Language Models have gained a lot of attention in recent times due to their excellent capabilities. LLMs are capable of everything from question...

Google DeepMind Researchers Propose Optimization by PROmpting (OPRO): Large Language Models as Optimizers

With the constant advancements in the field of Artificial Intelligence, its subfields, including Natural Language Processing, Natural Language Generation, Natural Language Understanding, and Computer...

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