Stanford – Page 6 – TheTimesofAI.com

Business

Whose Opinions Do LLMs Reflect? This AI Paper From Stanford Examines the Opinions Reflected by Language Models LMs Through the Lens of Public Opinion Polls

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April 4, 2023

0

Over the previous few years, it has been noticed that language fashions, or LMs, have been ...

Machine Learning

A Research Group from Stanford Studied the Possible Fine-Tuning Techniques to Generalize Latent Diffusion Models for Medical Imaging Domains

by Editor

March 31, 2023

0

Latent diffusion fashions have enormously elevated in reputation in recent times. As a result of their ...

Business

A Stanford Professor on How AI Will Transform Productivity

by Editor

March 28, 2023

0

ELISE HU: That was professor, researcher, and creator Erik Brynjolfsson. He has spent many years inspecting ...

Machine Learning

A New Artificial Intelligence Research From Stanford Shows How Explanations Can Reduce Overreliance on AI Systems During Decision-Making

by Editor

March 17, 2023

0

The growth of synthetic intelligence (AI) lately is intently associated to how a lot better human ...

Business

Researchers From Stanford Release Alpaca: An Instruction-Following Model Based on Meta AI LLaMA 7B

by Editor

March 16, 2023

0

There was an increase within the efficacy of instruction-following fashions like GPT-3.5 (text-da Vinci-003), ChatGPT, Claude, ...

Machine Learning

Researchers From Stanford And DeepMind Come Up With The Idea of Using Large Language Models LLMs as a Proxy Reward Function

by Editor

March 9, 2023

0

With the event of computing and information, autonomous brokers are gaining energy. The necessity for people ...

Business

A New AI Research from Stanford Explains the Role of Expressions of Overconfidence and Uncertainty in Language Models

by Editor

March 8, 2023

0

As pure language methods change into more and more prevalent in real-life situations, these methods should ...

NLP

Researchers From Stanford Introduce Voltron: A Framework For Language-Driven Representation Learning From Human Videos Associated Captions

by Editor

March 3, 2023

0

With the rising reputation and developments in Synthetic Intelligence, AI has efficiently stepped into the sphere ...

NLP

Stanford Researchers Develop An Incredible Brain-Computer Interface (BCI) System That Can Convert Speech-Related Neural Activity Into Text At 62 Words Per Minute

by Editor

February 28, 2023

0

Did you ever think about that an individual who misplaced his means to talk and can't ...

Machine Learning

Stanford AI Releases Stanford Human Preferences (SHP) Dataset: A Collection Of 385K Naturally Occurring Collective Human Preferences Over Text

by Editor

February 24, 2023

0

Machine studying and deep studying fashions are pervasive in virtually each sector at the moment. Mannequin ...

Tag: Stanford

Whose Opinions Do LLMs Reflect? This AI Paper From Stanford Examines the Opinions Reflected by Language Models LMs Through the Lens of Public Opinion Polls

A Research Group from Stanford Studied the Possible Fine-Tuning Techniques to Generalize Latent Diffusion Models for Medical Imaging Domains

A Stanford Professor on How AI Will Transform Productivity

A New Artificial Intelligence Research From Stanford Shows How Explanations Can Reduce Overreliance on AI Systems During Decision-Making

Researchers From Stanford Release Alpaca: An Instruction-Following Model Based on Meta AI LLaMA 7B

Researchers From Stanford And DeepMind Come Up With The Idea of Using Large Language Models LLMs as a Proxy Reward Function

A New AI Research from Stanford Explains the Role of Expressions of Overconfidence and Uncertainty in Language Models

Researchers From Stanford Introduce Voltron: A Framework For Language-Driven Representation Learning From Human Videos Associated Captions

Stanford Researchers Develop An Incredible Brain-Computer Interface (BCI) System That Can Convert Speech-Related Neural Activity Into Text At 62 Words Per Minute

Stanford AI Releases Stanford Human Preferences (SHP) Dataset: A Collection Of 385K Naturally Occurring Collective Human Preferences Over Text

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