This AI Paper from China Presents MathScale: A Scalable Machine Learning Method to Create High-Quality Mathematical Reasoning Data Using Frontier LLMs
Large language models (LLMs) excel in various problem-solving tasks but need help with complex mathematical reasoning, possibly due to the need for multi-step reasoning. Instruction Tuning effectively enhances LLM capabilities.…
CodaMetrix announces $40M Series B financing
CodaMetrix, the leading artificial intelligence (AI) solution for transforming healthcare and revenue cycle management, today announced that it has closed its $40 million Series B funding round. Transformation Capital led…
AITRICS to participate in HIMSS USA 2024
Three consecutive years of participation in HIMSS USAShowcasing ‘VitalCare’ which is an AI Solution for Predicting Patient Deterioration. AITRICS (CEO Kwang joon Kim), a company specializing in medical artificial intelligence (AI) technology announced…
Breaking New Grounds in AI: How Multimodal Large Language Models are Reshaping Age and Gender Estimation
The rapid development of (MLLMs) has been noteworthy, particularly those integrating language and vision modalities (LVMs). Their advancement is attributed to high accuracy, generalization capability, reasoning skills, and robust performance,…
Retrieval Augmented Thoughts (RAT): An AI Prompting Strategy that Synergies Chain of Thought (CoT) Prompting and Retrieval Augmented Generation (RAG) to Address the Challenging Long-Horizon Reasoning and Generation Tasks
The quest for models that can think, reason, and generate outputs similar to a human’s capacity for complex problem-solving has been paramount. Large language models (LLMs) are at the forefront,…
Meet Modeling Collaborator: A Novel Artificial Intelligence Framework that Allows Anyone to Train Vision Models Using Natural Language Interactions and Minimal Effort
The field of computer vision has traditionally focused on recognizing objectively agreed-upon concepts such as animals, vehicles, or specific objects. However, many practical, real-world applications require identifying subjective concepts that…
From Text to Visuals: How AWS AI Labs and University of Waterloo Are Changing the Game with MAGID
In human-computer interaction, multimodal systems that utilize text and images promise a more natural and engaging way for machines to communicate with humans. Such systems, however, are heavily dependent on…
Talk like a graph: Encoding graphs for large language models
Posted by Bahare Fatemi, Research Scientist, Google Research, and Bryan Perozzi, Research Scientist, Google Research Imagine all the things around you — your friends, tools in your kitchen, or even…
Unveiling the Simplicity within Complexity: The Linear Representation of Concepts in Large Language Models
In the evolving landscape of artificial intelligence, the study of how machines understand and process human language has unveiled intriguing insights, particularly within large language models (LLMs). These digital marvels,…
Beyond Human Limits: Revolutionizing Neuroscience Prediction with ‘BrainGPT’
In an era marked by an explosion of scientific knowledge, particularly in neuroscience, parsing through and synthesizing vast swaths of research has become a Herculean challenge. Neuroscience presents a quintessential…