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.
Transformer-based Large Language Models (LLMs) have emerged as the backbone of Natural Language Processing (NLP). These models have shown remarkable performance over a variety...
A systematic and multifaceted evaluation approach is needed to evaluate a Large Language Model's (LLM) proficiency in a given capacity. This method is necessary...
Large Language Models (LLMs) have taken over the Artificial Intelligence (AI) community in recent times. In a Reddit post, a user recently brought attention...
Large Language Models (LLMs) have made substantial progress in the field of Natural Language Processing (NLP). By scaling up the number of model parameters,...
Transformer-based generative Large Language Models (LLMs) have shown considerable strength in a broad range of Natural Language Processing (NLP) tasks. Numerous applications benefit from...
Artificial Intelligence (AI) alignment strategies are critical in ensuring the safety of Large Language Models (LLMs). These techniques often combine preference-based optimization techniques like...
Large language models (LLMs) have the potential to lead users to make poor decisions, especially when these models provide incorrect information with high confidence,...
Pre-trained language model development has advanced significantly in recent years, especially with the advent of large-scale models. For languages such as English, there is...
Monte Carlo (MC) methods rely on repeated random sampling, so they are widely utilized for simulating and approximating complicated real-world systems. These techniques work...
Most neural network topologies heavily rely on matrix multiplication (MatMul), primarily because it is essential to many basic processes. Vector-matrix multiplication (VMM) is commonly...
Query-as-a-Service (QaaS), also called serverless query processing, is a method of running analytical queries on the cloud. Serverless query engines, like AWS Athena and...
Large Language Models (LLMs) have significantly advanced in recent times, primarily because of their increased capacity to follow human commands efficiently. Reinforcement Learning from...
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