Fine-tuning commercial language models (LLMs) can bypass safety measures and lead to dangerous responses. Researchers found that fine-tuning GPT-3.5 with malicious examples deactivated its safety switch. This raises concerns about the safety and liability of fine-tuned models. Even proprietary models like GPT-3.5 can be compromised through fine-tuning, highlighting the need for robust safety mechanisms. Achieving…

Researchers from SLAC National Accelerator Laboratory, Stanford University, MIT, and Toyota Research Institute have developed a new approach using computer vision to analyze X-ray movies of lithium-ion batteries. By analyzing every pixel, they were able to uncover new physical and chemical details of battery cycling, including the impact of carbon coating thickness on lithium-ion flow.…

Large language models like ChatGPT have the potential to transform various fields but integrating them into real-world products poses challenges. A powerful strategy called retrieval-augmented generation (RAG) has emerged, allowing connection to external information sources for more accurate outputs. Several articles explore the intricacies and practical considerations of working with RAG, helpful for those in…

AI-driven apps are becoming popular for enhancing professional online images. Apps like Remini, Try It On AI, and AI Suit Up use artificial intelligence to create polished profile photos. While some users find these images to be genuine and professional, others believe they appear noticeably artificial. Cost is a driving factor, as professional photo sessions…

Researchers from Microsoft and ETH Zurich have released a dataset called “HoloAssist” to address the challenges of developing AI assistants for real-world tasks. The dataset contains extensive recordings of participants collaborating on physical manipulation tasks, capturing various sensor modalities and annotations. The dataset enables the development of anticipatory and proactive AI assistants for real-world scenarios,…

Predictive policing uses advanced analytics and machine learning to anticipate crimes before they happen. By analyzing historical crime data and other relevant information, algorithms can identify patterns and hotspots of criminal activity. However, recent investigations have revealed failures and ethical concerns, highlighting biases and the potential for inaccurate predictions. The efficacy of predictive policing software,…

MedARC has developed MindEye, an AI model that can analyze fMRI scans and retrieve the exact original image the person was looking at, even if the images are similar. The model can also identify similar images from a large image database. While impressive, the fMRI data collection process and limited training data are challenges. Nevertheless,…

Text-to-image diffusion models have dominated generative tasks by producing high-quality outcomes. Recently, image-to-image transformation tasks have been guided by diffusion models with external image conditions. However, the iterative and time-consuming nature of diffusion models limits their practical use. Recent research proposes distillation techniques to speed up sampling and condense the models. A single-stage distillation method…

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