Stanford – Page 2 – TheTimesofAI.com

Machine Learning

Stanford Researchers Introduce RAPTOR: A Novel Tree-based Retrieval System that Augments the Parametric Knowledge of LLMs with Contextual Information

February 9, 2024

Retrieval-augmented language fashions usually retrieve solely brief chunks from a corpus, limiting general doc context. This ...

Healthcare

Stanford uses AI to navigate health information sharing with teens and their families

by Editor

January 30, 2024

0

Within the quickly evolving panorama of healthcare, the sharing of well being info is a fragile ...

Business

Researchers from Stanford and OpenAI Introduce ‘Meta-Prompting’: An Effective Scaffolding Technique Designed to Enhance the Functionality of Language Models in a Task-Agnostic Manner

by Editor

January 28, 2024

0

Language fashions (LMs), equivalent to GPT-4, are on the forefront of pure language processing, providing capabilities ...

Business

This Machine Learning Research from Stanford and Microsoft Advances the Understanding of Generalization in Diffusion Models

by Editor

January 19, 2024

0

Diffusion fashions are on the forefront of generative mannequin analysis. These fashions, important in replicating advanced ...

Machine Learning

Stanford Researchers Introduce Clover: Closed-Loop Verifiable Code Generation that Checks Consistencies Among Code, Doc Strings and Annotations and Enforces Correctness in AI-Generated Code

by Editor

January 16, 2024

0

The development of using giant language fashions (LLMs) for code technology is quickly gaining momentum in ...

Startups

Stanford Scientists Make A Breakthrough In Breast Cancer

by Editor

January 2, 2024

0

Songnan Wang (left) and Lingyin Li (proper) analyzing the outcomes of breast most cancers lung metastasis ...

Business

Researchers from Genentech and Stanford University Develop an Iterative Perturb-seq Procedure Leveraging Machine Learning for Efficient Design of Perturbation Experiments

by Editor

December 23, 2023

0

Primary details about gene and cell perform is revealed by the expression response of a cell ...

NLP

Stanford Researchers Harness Deep Learning with GLOW and IVES to Transform Molecular Docking and Ligand Binding Pose Prediction

by Editor

December 19, 2023

0

Deep studying has the potential to boost molecular docking by enhancing scoring features. Present sampling protocols ...

Machine Learning

Researchers From Stanford University Introduce A Unified AI Framework For Corroborative And Contributive Attributions In Large Language Models (LLMs)

by Editor

December 18, 2023

0

Massive Language Fashions (LLMs) are the newest development within the exponentially evolving subject of Synthetic Intelligence ...

Business

Researchers at Stanford Unveil PLATO: A Novel AI Approach to Tackle Overfitting in High-Dimensional, Low-Sample Machine Learning with Knowledge Graph-Augmented Regularization

by Editor

December 17, 2023

0

A information graph (KG) is a graph-based database that shops info as nodes and edges. However, ...

Tag: Stanford

Stanford Researchers Introduce RAPTOR: A Novel Tree-based Retrieval System that Augments the Parametric Knowledge of LLMs with Contextual Information

Stanford uses AI to navigate health information sharing with teens and their families

Researchers from Stanford and OpenAI Introduce ‘Meta-Prompting’: An Effective Scaffolding Technique Designed to Enhance the Functionality of Language Models in a Task-Agnostic Manner

This Machine Learning Research from Stanford and Microsoft Advances the Understanding of Generalization in Diffusion Models

Stanford Researchers Introduce Clover: Closed-Loop Verifiable Code Generation that Checks Consistencies Among Code, Doc Strings and Annotations and Enforces Correctness in AI-Generated Code

Stanford Scientists Make A Breakthrough In Breast Cancer

Researchers from Genentech and Stanford University Develop an Iterative Perturb-seq Procedure Leveraging Machine Learning for Efficient Design of Perturbation Experiments

Stanford Researchers Harness Deep Learning with GLOW and IVES to Transform Molecular Docking and Ligand Binding Pose Prediction

Researchers From Stanford University Introduce A Unified AI Framework For Corroborative And Contributive Attributions In Large Language Models (LLMs)

Researchers at Stanford Unveil PLATO: A Novel AI Approach to Tackle Overfitting in High-Dimensional, Low-Sample Machine Learning with Knowledge Graph-Augmented Regularization

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