AI

  The GPT-4 was tested using a public Turing test on the internet by a group of researchers from UCSD. The best performing GPT-4 prompt was successful in 41% of games, which was better than the baselines given by ELIZA (27%), GPT-3.5 (14%), and random chance (63%), but it still needs to be quite there….

  In a groundbreaking development, engineering company Boston Dynamics has integrated ChatGPT, a sophisticated language model developed by OpenAI, into one of its remarkable robots, Spot. This canine-like companion is now equipped to offer guided tours around a building, providing insightful commentary on each exhibit along the way. Spot has undergone a remarkable transformation, now…

  Consistency models represent a category of generative models designed to generate high-quality data in a single step without relying on adversarial training. These models attain optimal sample quality by learning from pre-trained diffusion models and utilizing metrics like LPIPS (learning Perceptual Image Patch Similarity). The quality of consistency models is limited to the pre-trained…

  In Reinforcement learning (RL), effectively integrating human feedback into learning processes has risen to the forefront as a significant challenge. This challenge becomes particularly pronounced in Reward Learning from Human Feedback (RLHF), especially when dealing with multiple teachers. The complexities surrounding the selection of teachers in RLHF systems have led researchers to introduce the…

  In an exciting development for music enthusiasts, YouTube Music has unveiled a groundbreaking feature that empowers users to create personalised playlist cover art using cutting-edge generative AI technology. Initially available to English-language users in the United States, this innovative tool allows listeners to craft unique visuals that resonate with their individual musical preferences, departing…

  With learnt priors, RGB-only reconstruction with a monocular camera has made significant strides toward resolving the issues of low-texture areas and the inherent ambiguity of image-based reconstruction. Practical solutions for real-time execution have garnered considerable attention, as they are essential for interactive applications on mobile devices. Nevertheless, a crucial prerequisite yet to be considered…

  BRANCH-SOLVE-MERGE (BSM) is a program for enhancing Large Language Models (LLMs) in complex natural language tasks. BSM includes branching, solving, and merging modules to plan, crack, and combine sub-tasks. Applied to LLM response evaluation and constrained text generation with models like Vicuna, LLaMA-2-chat, and GPT-4, BSM boosts human-LLM agreement, reduces biases, and enables LLaMA-2-chat…

  Researchers from different Universities compare the effectiveness of language models (LLMs) and search engines in aiding fact-checking. LLM explanations help users fact-check more efficiently than search engines, but users tend to rely on LLMs even when the explanations are incorrect. Adding contrastive information reduces over-reliance but only significantly outperforms search engines. In high-stakes situations,…

  In recent years, there have been exceptional advancements in Artificial Intelligence, with many new advanced models being introduced, especially in NLP and Computer Vision. CLIP is a neural network developed by OpenAI trained on a massive dataset of text and image pairs. It has helped advance numerous computer vision research and has supported modern…

  Language models like GPT-3 are designed to be neutral and generate text based on the patterns they’ve learned in the data. They don’t have inherent sentiments or emotions. If the data used for training contains biases, these biases can be reflected in the model’s outputs. However, their output can be interpreted as positive, negative,…