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Found 8 papers, 1 papers with code
Does Synthetic Data Make Large Language Models More Efficient?
Natural Language Processing (NLP) has undergone transformative changes with the advent of deep learning methodologies.
Can pruning make Large Language Models more efficient?
Transformer models have revolutionized natural language processing with their unparalleled ability to grasp complex contextual relationships.
Can a student Large Language Model perform as well as it's teacher?
The burgeoning complexity of contemporary deep learning models, while achieving unparalleled accuracy, has inadvertently introduced deployment challenges in resource-constrained environments.
Do Generative Large Language Models need billions of parameters?
This paper presents novel systems and methodologies for the development of efficient large language models (LLMs).
Framework for 2D Ad placements in LinearTV
Virtual Product placement(VPP) is the advertising technique of digitally placing a branded object into the scene of a movie or TV show.
Alexa, Predict My Flight Delay
Airlines are critical today for carrying people and commodities on time.
Knock, knock. Who's there? -- Identifying football player jersey numbers with synthetic data
Automatic player identification is an essential and complex task in sports video analysis.
Zero-Shot Open-Book Question Answering
Open book question answering is a subset of question answering tasks where the system aims to find answers in a given set of documents (open-book) and common knowledge about a topic.
