Deep Learning

Open AI Releases GPT-4: A Large Multimodal Model With Best-Ever Results On Capabilities And Alignment

AI Shorts
OpenAI has launched GPT-4, which is the company's most advanced system to date. GPT-4 is designed to generate responses that are not only more...

This AI Paper Proposes a Novel Gradient-Based Method Called Cones to Analyze and Identify the Concept Neurons in Diffusion Models

AI Paper Summary
Complex structure of the brain enables it to perform amazing cognitive and creative tasks. According to research, concept neurons in the human medial temporal...

Meet Magnushammer: A Transformer-based Approach to Premise Selection

AI Paper Summary
Artificial intelligence's main focus has been on automating mathematical reasoning. More recently, machine learning has greatly benefited both informal and formal theorem proving. The...

Data Labeling and AI Revolution (2023)

AI Shorts
What is Data labeling? Data labeling is employed for machine learning algorithms to identify and comprehend objects properly. Face recognition, autonomous driving, aerial drones, robotics,...

Microsoft Proposes MathPrompter: A Technique that Improves Large Language Models (LLMs) Performance on Mathematical Reasoning Problems

AI Paper Summary
LLMs stands for Large Language Models. These are advanced machine learning models that are trained to comprehend massive volumes of text data and generate...

Memoji on Steroids: This AI Model Can Reconstruct 3D Avatars from Videos

AI Paper Summary
We see digital avatars everywhere, from our favorite chat applications to virtual marketing assistants on our favorite e-commerce websites. They are becoming increasingly popular...

MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks

AI Paper Summary
Researchers from MIT and Brown University have conducted a groundbreaking study on the dynamics of training deep classifiers, a widespread neural network used for...

The Scope Of Foundation Models In Decision Making: Their Challenges, Opportunities, And Potentials

AI Paper Summary
Foundation models have taken the Artificial Intelligence community by storm. Their recent impact has helped contribute to a wide range of industries such as...

A New AI Research Proposes A Novel Approach To Compact And Optimal Deep Learning By Decoupling Model DoF And Model Parameters

AI Paper Summary
In deep learning, large models with millions of parameters have shown remarkable accuracy in various applications such as image recognition, natural language processing, and...

Meet Prismer: An Open Source Vision-Language Model with An Ensemble of Experts

AI Paper Summary
Several recent vision-language models have demonstrated remarkable multi-modal generation abilities. But typically, they call for training enormous models on enormous datasets. Researchers introduce Prismer,...

Understanding Explainable AI And Interpretable AI

AI Shorts
As a result of recent technological advances in machine learning (ML), ML models are now being used in a variety of fields to improve...

Meet CLAMP: An New AI Tool For Molecular Activity Prediction That Can Adapt To New Experiments At Inference Time

AI Paper Summary
For decades, the tasks involving predicting a molecule's chemical, macroscopic, or biological properties based on its chemical structure have been a key scientific research...
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