Skip to content Skip to sidebar Skip to footer
Only AI Stuff
Only AI Stuff

Applications

Close

Leading AI Programs by NVIDIA

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 29, 202433Views0Likes0Comments
With the advancement of AI across various industries, NVIDIA leads the way through the provision of innovative technologies and solutions. Notably, NVIDIA offers a broad range of AI courses, designed to equip learners with the expertise needed to fully tap into AI's potential. These courses provide in-depth training on advanced subjects such as generative AI,…

Read More

A new multi-scale framework named Hierarchical Graph Masked AutoEncoders (Hi-GMAE) is designed to manage the hierarchical structures inherent in the graph.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 29, 202434Views0Likes0Comments
The traditional methods of supervised learning often encounter difficulties when applied to graph analysis as they require labeled data, which is complex and challenging in the case of academic, social, and biological networks. Graph Self-supervised Pre-training (GSP) techniques, classified broadly as contrastive and generative, address these limitations by harnessing the inherent structures and features of…

Read More

Hierarchical Graph Masked AutoEncoders (Hi-GMAE): An Innovative Multi-Level GMAE Structure Engineered to Manage the Hierarchical Configurations within a Graph.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 29, 202442Views0Likes0Comments
In graph analysis, collecting labeled data for traditional supervised learning methods can be challenging, particularly for academic, social, and biological networks. As a means to navigate this, Graph Self-supervised Pre-training (GSP) techniques have become more prevalent. These methods capitalize on the inherent structures and characteristics of graph data, mining meaningful representations without needing labeled examples…

Read More

Addressing the Issue of Gradient Inversion in Federated Learning: The DAGER Algorithm for Precise Text Reconstruction

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 29, 202434Views0Likes0Comments
Federated learning is a way to train models collaboratively using data from multiple clients, maintaining data privacy. Yet, this privacy can become compromised by gradient inversion attacks that reconstruct original data from shared gradients. To address this threat and specifically tackle the challenge of text recovery, researchers from INSAIT, Sofia University, ETH Zurich, and LogicStar.ai…

Read More

Mistral-finetune: A streamlined code structure for resource-effective and high-performing refinements of Mistral’s Models.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 29, 202434Views0Likes0Comments
Fine-tuning large language models is a common challenge for many developers and researchers in the AI field. It is a critical process in adapting models to specific tasks or enhancing their performance. But it often necessitates significant computational resources and time. Conventional solutions, such as adjusting all model weights, are resource-intensive, requiring substantial memory and…

Read More

NV-Embed: NVIDIA’s Innovative Embedding Model Excels in MTEB Benchmarks

AI Shorts, AI Tool, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 29, 202449Views0Likes0Comments
NVIDIA, a leader in artificial intelligence (AI) and graphic processing units (GPUs), has recently launched NV-Embed, an advanced embedding model built on the large language model (LLM) architecture. NV-Embed is set to transform the field of natural language processing (NLP) and has already demonstrated high performance results in the Massive Text Embedding Benchmark (MTEB). Its…

Read More

This Artificial Intelligence research study from Cornell University deciphers the intricate factors in estimating interventional probability.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Staff, Tech News, Technology, UncategorizedMay 29, 202428Views0Likes0Comments
Causal models play a vital role in establishing the cause-and-effect associations between variables in complex systems, though they struggle to estimate probabilities associated with multiple interventions and conditions. Two main types of causal models have been the focus of AI research - functional causal models and causal Bayesian networks (CBN). Functional causal models make it…

Read More

Investigations at Arizona State University Assess ReAct Prompting: The Importance of Similar Examples in Boosting Extensive Language Model Logic

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Staff, Tech News, Technology, UncategorizedMay 29, 202432Views0Likes0Comments
Large language models (LLMs) have rapidly improved over time, proving their prowess in text generation, summarization, translation, and question-answering tasks. These advancements have led researchers to explore their potential in reasoning and planning tasks. Despite this growth, evaluating the effectiveness of LLMs in these complex tasks remains a challenge. It's difficult to assess if any performance…

Read More

Improving Agent Strategy: A Parametric AI Method for Global Awareness

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 28, 202437Views0Likes0Comments
Large Language Models (LLMs) have revolutionized natural language processing tasks, and their potential in physical world planning tasks is beginning to be leveraged. However, these models often encounter problems in understanding the actual world, resulting in hallucinatory actions and a reliance on trial-and-error behavior. Researchers have noted that humans perform tasks efficiently by leveraging global…

Read More

+60 12-462 2768
hello@goacademyai.com