ViTs vs CNNs in AI Image Processing
Artificial Intelligence (AI) has made significant advancements in image processing, thanks to the emergence of powerful technologies such as Vision
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Artificial Intelligence
Efficient LLM Deployment with Vidur: Reducing Costs and Time
Large language models (LLMs) such as GPT-4 and Llama have revolutionized natural language processing, enabling a wide range of applications
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Ensuring LLMs Stability: Automated Detection of Under-trained Tokens in NLP
Language models have revolutionized the field of natural language processing (NLP) by enabling computers to understand and generate human language.
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THRONE: Advancing the Evaluation of Hallucinations in Vision-Language Models
Artificial Intelligence (AI) systems have made significant advancements in recent years, particularly in vision-language models (VLVMs). These models integrate text
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Exploring Lory: A Revolutionary Approach to Autoregressive Language Model Pre-Training
Language models have revolutionized the field of natural language processing (NLP) by enabling machines to understand and generate human-like text.
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FastGen: Cutting GPU Memory Costs Without Compromising on LLM Quality
Autoregressive language models (ALMs) have revolutionized various natural language processing tasks, such as machine translation, text generation, and more. These
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Enhancing AI Reasoning with Minimum Description Length: Introducing MIDGARD
Artificial Intelligence (AI) has made remarkable progress in recent years, but one critical challenge that remains is improving reasoning capabilities.
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QoQ and QServe: A New Frontier in Model Quantization Transforming Large Language Model Deployment
Quantization, a method integral to computational linguistics, is essential for managing the vast computational demands of deploying large language models
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AI Hallucination Detection with KnowHalu
Artificial Intelligence (AI) has made significant advancements in recent years, particularly with the development of Large Language Models (LLMs). These
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Boosting GNNs with DiskGNN Tech
The field of machine learning has seen significant advancements in recent years, particularly in the realm of graph neural networks
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