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.

Researchers From Stanford Introduce Voltron: A Framework For Language-Driven Representation Learning From Human Videos Associated Captions

AI Paper Summary
With the growing popularity and advancements in Artificial Intelligence, AI has successfully stepped into the field of Robotics. Robotics is a branch of engineering...

Oxford University Researchers Introduce A Diffusion Model Called RealFusion That Can Generate 360-degree Reconstructions Of Objects From An Image

AI Paper Summary
With the introduction of Large Language Models and their increasing popularity, a number of tasks are conveniently getting executed. Models like DALL-E, developed by...

Stanford Researchers Develop An Incredible Brain-Computer Interface (BCI) System That Can Convert Speech-Related Neural Activity Into Text At 62 Words Per Minute

AI Shorts
Did you ever imagine that a person who lost his ability to speak and cannot clearly utter words would be able to communicate what...

The Three Key Changes Driving the Success of Pre-trained Foundation Models and Large Language Models LLMs

AI Paper Summary
Large Language Models (LLMs) have received a lot of appreciation worldwide and have gained immense popularity in the field of Natural Language Processing. This...

Researchers at Stanford Introduce ControlNet: A Neural Network Structure to Control Pre-Trained Large Diffusion Models to Support Additional Input Conditions

AI Paper Summary
The development of Large language models like ChatGPT and DALL-E has been a topic of interest in the Artificial Intelligence community. By using advanced...

A New AI Research Proposes Compositional Exemplars for In-context Learning (CEIL): A Novel Approach That Uses Determinantal Point Process (DPP) for More Efficient In-context...

AI Paper Summary
In the past few years, language models have become one of the quickest-growing fields in Artificial Intelligence. These models have been developed to process,...

A New AI Approach Using Embedding Recycling (ER) Can Make Language Model Development More Efficient With 2x Faster Training And 1.8x Speedup In Inference

AI Paper Summary
Language models are one of the best advancements in Artificial Intelligence. With capabilities like summarization of articles, writing stories, answering questions, and completing codes,...

Meet pix2pix-zero: A Diffusion-Based Image-to-Image Translation Method that Allows Users to Specify the Edit Direction on-the-fly (e.g., Cat → Dog)

AI Shorts
Over the past few years, many advancements have been made in the field of Artificial intelligence, and one such development is text-to-image generation models....

Meet Concrete ML: An Open-Source FHE-Based Toolkit That Helps in Preserving Privacy And Enables Secure Machine Learning

AI Shorts
Artificial Intelligence and Machine Learning have shown tremendous productivity rise in the past few years. ML is all about having good quality data by...

This AI Algorithm Called Speculative Sampling (SpS) Accelerates the Decoding in Large Language Models by 2-2.5x

AI Paper Summary
Large Language models are one of the most significant advancements in Artificial Intelligence. They are a great application of transformer models. LLMs have come...

Meet RangeAugment: Image Augmentation Technique That Works By Learning The Range of Magnitudes For Effective Computation

AI Paper Summary
The performance of a deep neural network depends on the characteristics and quantity of the data provided for training purposes. Since there is a...

A New Artificial Intelligence AI Approach Called PromptPG Learns to Select in-Context Examples From A Small Amount of Training Data via Policy Gradient When...

AI Paper Summary
The newest modernizations in the field of Natural Language Processing have permitted us to define intelligent systems with a better and more articulate understanding...
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