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.

Meet Rainbow Teaming: A Versatile Artificial Intelligence Approach for the Systematic Generation of Diverse Adversarial Prompts for LLMs via LLMs

Large Language Models (LLMs) have seen significant development in the recent times. Their capabilities are being used in a wide range of fields, including...

Google DeepMind Introduces Two Unique Machine Learning Models, Hawk And Griffin, Combining Gated Linear Recurrences With Local Attention For Efficient Language Models

Artificial Intelligence (AI) and Deep Learning, with a focus on Natural Language Processing (NLP), have seen substantial changes in the last few years. The...

This AI Paper Introduces BABILong Framework: A Generative Benchmark for Testing Natural Language Processing (NLP) Models on Processing Arbitrarily Lengthy Documents

Advances in the field of Machine Learning in recent times have resulted in larger input sizes for models. However, the quadratic scaling of computing...

This Paper Explores the Synergistic Potential of Machine Learning: Enhancing Interpretability and Functionality in Generalized Additive Models through Large Language Models

In the significantly advancing fields of data science and Artificial Intelligence (AI), the combination of interpretable Machine Learning (ML) models with Large Language Models...

Meet Phind-70B: An Artificial Intelligence (AI) Model that Closes Execution Speed and the Code Generation Quality Gap with GPT-4 Turbo

The field of Artificial Intelligence (AI) is significantly pushing the envelope of technology, thanks to the amazing capabilities of Large Language Models (LLMs). These...

Microsoft AI Research Introduces Generalized Instruction Tuning (called GLAN): A General and Scalable Artificial Intelligence Method for Instruction Tuning of Large Language Models (LLMs)

Large Language Models (LLMs) have significantly evolved in recent times, especially in the areas of text understanding and generation. However, there have been certain...

This Paper from Meta AI Investigates the Radioactivity of LLM-Generated Texts

In recent research, the concept of radioactivity in the context of Large Language Models (LLMs) has been discussed,  with particular attention to the detectability...

Apple Researchers Introduce a Novel Tune Mode: A Game-Changer for Convolution-BatchNorm Blocks in Machine Learning

A key component of deep convolutional neural network training is feature normalization, which aims to increase stability, reduce internal covariate shifts, and boost network...

Microsoft Research Introduces GraphRAG: A Unique Machine Learning Approach that Improves Retrieval-Augmented Generation (RAG) Performance Using Large Language Model (LLM) Generated Knowledge Graphs

Large Language Models (LLMs) have extended their capabilities to different areas, including healthcare, finance, education, entertainment, etc. These models have utilized the power of...

Balancing Power and Policy: Navigating the Future of Compute Governance in Artificial Intelligence Development

The rapidly developing field of Artificial Intelligence (AI) has seen a major advancement in technologies, including generative AI, deep neural networks, and Large Language...

Meta AI Introduces TestGen-LLM for Automated Unit Test Improvement Using Large Language Models (LLMs)

In recent research, a team of researchers from Meta has presented TestGen-LLM, a unique tool that uses Large Language Models (LLMs) to improve pre-existing...

Meta Releases Aria Everyday Activities (AEA) Dataset: An Egocentric Multimodal Open Dataset Recorded Using Project Aria Glasses

The introduction of Augmented Reality (AR) and wearable Artificial Intelligence (AI) gadgets is a significant advancement in human-computer interaction. With AR and AI gadgets...

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