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Month: December 2023

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  • Cornell Researchers Uncover Insights into Language Model Prompts: A Deep Dive into How Next-Token Probabilities Can Reveal Hidden Text

Cornell Researchers Uncover Insights into Language Model Prompts: A Deep Dive into How Next-Token Probabilities Can Reveal Hidden Text

The study conducted by researchers at Cornell University addresses the problem of language model inversion. They discovered that the next-token probabilities contain significant information about the preceding text. To solve…

This AI Paper Releases a Detailed Review of Open-Source Large Language Models that Claim to Catch up with or Surpass ChatGPT in Different Tasks

The recent release of ChatGPT last year has taken the Artificial Intelligence community by storm. Based on GPT’s transformer architecture, which is the latest Large Language Model, ChatGPT has had…

Perplexity Unveils Two New Online LLM Models: ‘pplx-7b-online’ and ‘pplx-70b-online’

Perplexity, an innovative AI startup, has introduced a solution to transform information retrieval systems. This launch introduces two new large language models (LLMs), pplx-7b-online and pplx-70b-online, which mark the pioneering…

Meet SceneTex: A Novel AI Method for High-Quality, Style-Consistent Texture Generation in Indoor Scenes

High-quality 3D content synthesis is a crucial yet challenging problem for many applications, such as autonomous driving, robotic simulation, gaming, filmmaking, and future VR/AR situations. The topic of 3D geometry…

Researchers from NYU and Meta Introduce Dobb-E: An Open-Source and General Framework for Learning Household Robotic Manipulation

The team of researchers from NYU and Meta aimed to address the challenge of robotic manipulation learning in domestic environments by introducing DobbE, a highly adaptable system capable of learning…

Meet PepCNN: A Deep Learning Tool for Predicting Peptide Binding Residues in Proteins Using Sequence, Structural, and Language Model Features

PepCNN, a deep learning model developed by researchers from Griffith University, RIKEN Center for Integrative Medical Sciences, Rutgers University, and The University of Tokyo, addresses the problem of predicting protein-peptide…

Breaking the Boundaries in 3D Scene Representation: How a New AI Technique is Changing the Game with Faster, More Efficient Rendering and Reduced Storage Demands

NeRF represents scenes as continuous 3D volumes. Instead of discrete 3D meshes or point clouds, it defines a function that calculates color and density values for any 3D point within…

Meet Meditron: A Suite of Open-Source Medical Large Language Models (LLMs) based on LLaMA-2

One of the most exciting applications of Large Language Models (LLMs) is in medicine, with some of its use cases including medical research, tailored health plans, clinical diagnosis, and many…

Microsoft Researchers Propose MAIRA-1: A Radiology-Specific Multimodal Model for the Task of Generating Radiological Reports from Chest X-rays (CXRs)

The team of researchers from Microsoft tackled the problem of generating high-quality reports for chest X-rays (CXR) by developing a radiology-specific multimodal model called MAIRA-1. The model utilizes a CXR-specific…

Google DeepMind Introduces GNoME: A New Deep Learning Tool that Dramatically Increases the Speed and Efficiency of Discovery by Predicting the Stability of New Materials

Inorganic crystals are essential to many contemporary technologies, including computer chips, batteries, and solar panels. Every new, stable crystal results from months of meticulous experimentation, and stable crystals are essential…