Author: Tanya Malhotra

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.

Can Artificial Intelligence Match Human Creativity? A New Study Compares The Generation Of Original Ideas Between Humans and Generative Artificial Intelligence Chatbots

Recently, Artificial Intelligence has been able to perform tasks by imitating humans. With the development of Large Language Models like ChatGPT and DALL-E and...

Meet Pix2Video: A Training-Free And Text-Guided AI Approach That Simplifies Video Editing Using Image Diffusion Models

The development of text-to-image generation models is one of the best advancements in Artificial Intelligence. DALLE 2, the recently developed model introduced by OpenAI,...

Microsoft AI Introduce DeBERTa-V3: A Novel Pre-Training Paradigm for Language Models Based on the Combination of DeBERTa and ELECTRA

Natural Language Processing (NLP) and Natural Language Understanding (NLU) have been two of the primary running goals in the field of Artificial Intelligence. With...

Exploring The Differences Between ChatGPT/GPT-4 and Traditional Language Models: The Impact of Reinforcement Learning from Human Feedback (RLHF)

GPT-4 has been released, and it is already in the headlines. It is the technology behind the popular ChatGPT developed by OpenAI which can...

Ten Innovative Ways You Can Start Using GPT-4 Today

With more and more artificial intelligence (AI) tools getting released on the internet, there has been a massive increase in the popularity of this...

Microsoft Proposes VALL-E X: A Cross-Lingual Neural Codec Language Model That Lets You Speak Foreign Languages With Your Own Voice

In the past few years, there have been some great advancements in the field of speech synthesis. With the rapid progress being made by...

Meet Neural Functional Networks (NFNs): An AI Framework That Can Process Neural Network Weights While Respecting Their Permutation Symmetries

With the development of large language models like ChatGPT, neural networks have become increasingly popular in natural language processing. The recent success of LLMs...

Meet GigaGAN: A Large-scale Modified GAN Architecture for Text-to-Image Synthesis

The introduction of popular language models like ChatGPT and DALL-E has been a massive topic of interest for the past few months, especially in...

The Scope Of Foundation Models In Decision Making: Their Challenges, Opportunities, And Potentials

Foundation models have taken the Artificial Intelligence community by storm. Their recent impact has helped contribute to a wide range of industries such as...

How Can Meta-Learning, Self-Attention And JAX Power The Next Generation of Evolutionary Optimizers?

Black box optimization methods are used in every domain, from Artificial Intelligence and Machine Learning to engineering and finance. These methods are used to...

Meet Flan-UL2: A Unified Framework For Pre-Training Models That Are Universally Effective Across Datasets And Setups (Now Open-Source)

In Natural Langauge Processing (NLP), there has been tremendous progress in the development of large language models (LLMs). The primary objective of these models...

This Artificial Intelligence (AI) Research Shows The Feasibility Of Enabling Conversational Interactions With Mobile UIs Using Large Language Models LLMs

In the past few years, language models have become the talk of the town. These models process, produce, and use natural language text to...

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