OpenAI

868 Articles
GraphAide: Building and Utilizing Knowledge Graphs for Domain-Specific Digital Assistants
OpenAI

GraphAide: Building and Utilizing Knowledge Graphs for Domain-Specific Digital Assistants

Large Language Models (LLMs) have revolutionized artificial intelligence applications across various fields, enabling domain experts to use pre-trained models for innovative solutions. While...

DeBaTeR: A New AI Method that Leverages Time Information in Neural Graph Collaborative Filtering to Enhance both Denoising and Prediction Performance
OpenAI

DeBaTeR: A New AI Method that Leverages Time Information in Neural Graph Collaborative Filtering to Enhance both Denoising and Prediction Performance

Recommender systems have been widely applied for studying user preferences; however, they face significant challenges in accurately capturing user preferences, particularly in the...

Balancing Accuracy and Speed in RAG Systems: Insights into Optimized Retrieval Techniques
OpenAI

Balancing Accuracy and Speed in RAG Systems: Insights into Optimized Retrieval Techniques

In recent times, Retrieval-augmented generation (RAG) has become popular due to its ability to solve challenges using Large Language Models, such as hallucinations...

DBgDel: Database-Enhanced Gene Deletion Framework for Growth-Coupled Production in Genome-Scale Metabolic Models
OpenAI

DBgDel: Database-Enhanced Gene Deletion Framework for Growth-Coupled Production in Genome-Scale Metabolic Models

Identifying gene deletion strategies for growth-coupled production in genome-scale metabolic models presents significant computational challenges. Growth-coupled production, which links cell growth to the...

Support Vector Machine (SVM) Algorithm
OpenAI

Support Vector Machine (SVM) Algorithm

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in...

Kinetix: An Open-Ended Universe of Physics-based Tasks for Reinforcement Learning
OpenAI

Kinetix: An Open-Ended Universe of Physics-based Tasks for Reinforcement Learning

Self-supervised learning on offline datasets has permitted large models to reach remarkable capabilities both in text and image domains. Still, analogous generalizations for...

MIT Researchers Propose Boltz-1: The First Open-Source AI Model Achieving AlphaFold3-Level Accuracy in Biomolecular Structure Prediction
OpenAI

MIT Researchers Propose Boltz-1: The First Open-Source AI Model Achieving AlphaFold3-Level Accuracy in Biomolecular Structure Prediction

Understanding biomolecular interactions is crucial for fields like drug discovery and protein design. Traditionally, determining the three-dimensional structure of proteins and other biomolecules...

Meet Beepo-22B: The Unrestricted AI Finetuned Model based on Mistral Small Instruct 22B
OpenAI

Meet Beepo-22B: The Unrestricted AI Finetuned Model based on Mistral Small Instruct 22B

Modern language models have transformed our daily interactions with technology, offering tools that help draft emails, write articles, code software, and much more....