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LongLLMLingua Model: A Solution for LLMs in Long Context Scenarios
Core Challenges 1. Question-Context Relevance Problem Traditional prompt compression methods face several critical issues when dealing with long contexts: Traditional Approach: Input: [Document1, Document2, ...,...
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
The Challenges of of LLMs Large language models (LLMs) have revolutionized various applications due to their remarkable capabilities. Advancements in techniques like chain-of-thought prompting and...
LLaMA: Open and Efficient Foundation Language Models
Exploring the Architecture, Training Data, and Training Process of LLaMA The sources provide a detailed explanation of the LLaMA model, covering its architecture, the data...
Understanding Padding in Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have revolutionized the field of computer vision, enabling impressive results in tasks such as image classification and object detection. In CNNs,...
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LongLLMLingua Model: A Solution for LLMs in Long Context Scenarios
Core Challenges 1. Question-Context Relevance Problem Traditional prompt compression methods face several critical issues when dealing with long contexts: Traditional Approach: Input: [Document1, Document2, ..., DocumentN] + Question Process: Compress...
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
The Challenges of of LLMs Large language models (LLMs) have revolutionized various applications due to their remarkable capabilities. Advancements in techniques like chain-of-thought prompting and in-context learning have significantly enhanced...
LLaMA: Open and Efficient Foundation Language Models
Exploring the Architecture, Training Data, and Training Process of LLaMA The sources provide a detailed explanation of the LLaMA model, covering its architecture, the data it was trained on, and...
Understanding Anchor Boxes in Object Detection
Anchor boxes play a crucial role in overcoming the limitation of traditional object detection approaches, where each grid cell can detect only one object. By allowing multiple objects to be...
Data Augmentation
Deep Learning for Computer Vision: Navigating the Landscape Deep learning has made significant advancements in various domains such as computer vision, natural language processing, speech recognition, online advertising, and logistics....