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Exploring Refusal-Aware Instruction Tuning to Promote Honesty in Large Language Models and Reduce Hallucination

We are truly excited about the latest research from the Hong Kong University of Science and Technology and the University of Illinois Urbana-Champaign, where they have collaboratively addressed a challenge faced by large language models (LLMs) known as hallucination. Here, these models generate non-existent facts, by introducing a novel approach called Refusal-Aware Instruction Tuning (R-Tuning).…

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Acknowledgment of Copyright Struggles to Safeguard Creators in the Age of Artificial Intelligence

The recent disclosure of the Midjourney AI image generation models' non-consensual training of over 16,000 artists' names has sparked a flurry of reactions! A leaked public Google spreadsheet, viewable in the Internet Archive, mirrors a list found in a 2023 class-action lawsuit against Midjourney, indicating its credibility. Artist Jon Lam from Riot Games shared screenshots…

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Acknowledgment of Copyright Struggles to Safeguard Creators in the Age of Artificial Intelligence

The recent disclosure of the Midjourney AI image generation models' non-consensual training of over 16,000 artists' names has sparked a flurry of reactions! A leaked public Google spreadsheet, viewable in the Internet Archive, mirrors a list found in a 2023 class-action lawsuit against Midjourney, indicating its credibility. Artist Jon Lam from Riot Games shared screenshots…

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Google Researchers Propose a Novel Neural Network Model Titled ‘Boundary Attention’ that Utilizes Differentiable Geometric Primitives Such as Edges, Corners, and Junctions to Explicitly Model Image Boundaries.

Distinguishing fine image boundaries, particularly in noisy or low-resolution scenarios, remains a formidable challenge. Traditional approaches, heavily reliant on human annotations and rasterized edge representations, often lack precision and adaptability to diverse image conditions. This has spurred the development of new methodologies, with Google and Harvard University researchers leading the charge in boundary detection research.…

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Introducing LARP: An AI Framework for Language Agents in Open-World Role-Playing Games

Language agents have long been praised for their speed and accuracy in problem-solving capabilities in defined settings, however, when it comes to the ever-changing complexities of open-world simulations involving memory retention and coherent actions, challenges arise due to randomness in language agent output and cumulative distortion in task results. To combat these issues, the research…

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Introducing LLama.cpp: An Open-Source Machine Learning Library for Executing the LLaMA Model Utilizing 4-bit Integer Quantization on a MacBook

We are living in an exciting era of machine learning! With the launch of powerful language models like GPT-3, developers now have the opportunity to create real-time applications with unprecedented speed and accuracy. However, many face the challenge of integrating giant language models into production efficiently and effectively, as existing solutions require high latency and…

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Introducing LLama.cpp: An Open-Source Machine Learning Library for Executing the LLaMA Model Utilizing 4-bit Integer Quantization on a MacBook

We are living in an exciting era of machine learning! With the launch of powerful language models like GPT-3, developers now have the opportunity to create real-time applications with unprecedented speed and accuracy. However, many face the challenge of integrating giant language models into production efficiently and effectively, as existing solutions require high latency and…

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