- Sun. Oct 6th, 2024
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This AI Paper Introduces the GraphGPT Framework: Enhancing Graph Neural Networks with Large Language Model Techniques for Superior Zero-Shot Learning Performance
In the recent study “GraphGPT: Graph Instruction Tuning for Large Language Models,” researchers have addressed a pressing issue in the field of natural language processing, particularly in the context of…
Researchers at Stanford Introduce CORNN: A Machine Learning Method for Real-Time Analysis of Large-Scale Neural Recordings
Technological developments have brought a new age in the constantly changing field of neuroscience research. With this extraordinary power, it has become possible to gain a deeper understanding of the…
This AI Paper Introduces JudgeLM: A Novel Approach for Scalable Evaluation of Large Language Models in Open-Ended Scenarios
Large language models (LLMs) have attracted much attention lately because of their exceptional ability to follow instructions and handle a wide range of open-ended scenarios. Through instruction fine-tuning, researchers offer…
Luma AI Launches Genie: A New 3D Generative AI Model that Lets You Create 3D Objects from Text
In 3D modeling, creating realistic 3D objects has often been a complex and time-consuming task. People had to be skilled in using specialized software to design three-dimensional objects. But now,…
This AI Paper Introduces a Novel Personalized Distillation Process: Enhancing Open-Source LLMs with Adaptive Learning from Closed-Source Counterparts
Researchers from Nanyang Technological University, Singapore, and Salesforce Research introduce a personalized distillation process for code generation tasks involving a student model’s initial task-solving attempt followed by adaptive refinement from…
This AI Paper Propose AugGPT: A Text Data Augmentation Approach based on ChatGPT
NLP, or Natural Language Processing, is a field of AI focusing on human-computer interaction using language. Text analysis, translation, chatbots, and sentiment analysis are just some of its many applications.…
Meet SecureLoop: An AI-Powered Search Tool to Identify an Optimal Design for a Deep Learning Accelerator that can Boost the Performance of Complex AI Tasks while Requiring Less Energy
Deep learning is witnessing a rapid proliferation of Deep Neural Networks (DNNs) across diverse applications, spanning healthcare, speech recognition, and video analysis domains. This surge in DNN utilization has prompted…
Koe AI Unveils LLVC: A Groundbreaking Real-Time Voice Conversion Model with Unparalleled Efficiency and Speed
A team of researchers from Koe AI introduced LLVC (Low-latency, Low-resource Voice Conversion), a model designed for real-time any-to-one voice conversion, characterized by ultra-low latency and minimal resource consumption. It…
Meet Skywork-13B: A Family of Large Language Models (LLMs) Trained on a Corpus of Over 3.2T Tokens Drawn from both English and Chinese Texts
Bilingual LLMs are becoming increasingly important in our interconnected world, where language diversity is a common challenge. They have the potential to break down language barriers, promote cross-cultural understanding, and…
Researchers from Johns Hopkins Medicine Developed a Machine Learning Model for Precise Osteosarcoma Necrosis Calculation
In the realm of oncology, assessing the effectiveness of chemotherapy on bone cancer patients is a critical determinant of prognosis. A research team at Johns Hopkins Medicine has recently pioneered…