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Language Model

Enhancing Safety Measures in Extensive Language Models (LLMs)

Artificial intelligence (AI) alignment strategies, such as Direct Preference Optimization (DPO) and Reinforcement Learning with Human Feedback (RLHF) combined with supervised fine-tuning (SFT), are essential for the safety of Large Language Models (LLMs). They work to modify these AI models to reduce the chance of hazardous interactions. However, recent research has uncovered significant weaknesses in…

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GenAI-Arena: A Publicly Available Framework for Comparative Assessment of Generative AI Models within the Community

University of Waterloo researchers have introduced GenAI-Arena, a user-centric evaluation platform for generative AI models, filling a critical gap in fair and efficient automatic assessment methods. Traditional metrics like FID, CLIP, FVD provide insights into visual content generation but may not sufficiently evaluate user satisfaction and aesthetic qualities of generated outputs. GenAI-Arena allows users not…

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Fine-Tuning LLM: MEFT Achieves Comparable Performance with Lower Memory Usage through Affordable Training

Large Language Models (LLMs) are complex artificial intelligence tools capable of amazing feats in natural language processing. However, these large models require extensive fine-tuning to adapt to specific tasks, a process that usually involves adjusting a considerable number of parameters and consequently consuming significant computational resources and memory. This means the fine-tuning of LLMs is…

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The Georgia Institute of Technology has produced an AI research paper which presents LARS-VSA (Learning with Abstract RuleS), a Vector Symbolic Framework designed for educating with theoretical regulations.

Analogical reasoning, which enables understanding relationships between objects, is key to abstract thinking in humans. However, machine learning models often struggle with this task, requiring assistance to draw abstract rules from limited data. A process known as the relational bottleneck has been adopted to help rectify this issue, using attention mechanisms to detect correlations between…

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This AI Article by Snowflake assesses the integration of GPT-4 models with OCR and vision technologies to improve text and image analysis: Progressing Document Comprehension.

The field of document understanding, which involves transforming documents into meaningful information, has gained significance with the advent of large language models and increasing use of document images across industries. The primary challenge for researchers in this field, however, is the effective extraction of information from documents that contain a mix of text and visual…

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Google AI unveils Proofread, a unique Gboard function that allows effortless corrections at both sentence-level and paragraph-level with just one tap.

Google’s mobile keyboard app, Gboard, uses statistical decoding to counteract the inherent inaccuracies of touch input on small screens, often referred to as the ‘fat finger’ problem. To assist users, Gboard has several features covering word completion, next-word predictions, active auto-correction and active key correction. However, these models do struggle with more complex errors which…

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