Large language models use a surprisingly simple mechanism to retrieve some stored knowledge | MIT News
Large language models, like those that power popular ai chatbots like ChatGPT, are incredibly complex. Although these models are used ...
Tag: models
Cobra for Multimodal Language Learning: Efficient Multimodal Large Language Models (MLLM) with Linear Computational Complexity
Recent advances in multimodal large language models (MLLM) have revolutionized several fields, leveraging the transformative capabilities of large-scale language models ...
HuggingFace Introduces Quanto: A Python Quantization Toolkit to Reduce Computational and Memory Costs of Evaluating Deep Learning Models
HuggingFace researchers present How much to address the challenge of optimizing deep learning models for deployment on resource-constrained devices such ...
LLM4Decompile: Open source large language models for decompilation with emphasis on code executability and compileability
Decompilation plays a crucial role in software reverse engineering as it enables the analysis and understanding of binary executables when ...
UC Berkeley and Microsoft Research Redefine Visual Understanding: How Upscaling Outperforms Larger Models Efficiently and Elegantly
In the dynamic realm of computer vision and artificial intelligence, a new approach challenges the traditional trend of building larger ...
Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock
Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. Furthermore, the use ...
Studying Knowledge Conflicts in Large Language Models: Paths to Greater Accuracy and Reliability
Large language models (LLMs) have taken center stage in artificial intelligence, driving advances in many applications, from improving conversational ai ...
BurstAttention: An innovative machine learning framework that transforms efficiency in large language models with an advanced distributed attention mechanism for extremely long sequences
Large language models (LLMs) have revolutionized the way computers understand and generate human language in machine learning and natural language ...
LocalMamba: Revolutionizing visual perception with innovative state space models to improve local dependency capture
In recent years, the field of computer vision has witnessed remarkable progress, pushing the limits of how machines interpret complex ...
Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models
While automatic speech recognition (ASR) systems are widely used in many real-world applications, they often do not generalize well to ...
