Researchers – Page 44 – TheTimesofAI.com

Machine Learning

Microsoft Researchers Propose A New AI Method That Uses Both Forward And Backward Language Models To Meet In The Middle And Improve The Training Data Efficiency

by Editor

March 19, 2023

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Language fashions (LMs) have been also used for varied aided writing actions, together with textual content ...

Machine Learning

Allen Institute for AI Researchers Introduce Phone2Proc: A Lightweight Process By Which An Embodied AI Agent Can Tune To And Be Robust In A Target Real Environment

by Editor

March 18, 2023

0

Embodied synthetic intelligence (AI) is a subset of superintelligent AI methods which can be able to ...

Business

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

by Editor

March 16, 2023

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

Business

MIT Researchers Use Machine Learning to Build Faster and More Efficient Hash Functions That are a Key Component of Databases

by Editor

March 15, 2023

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Hashing is a way utilized in database administration methods to find knowledge required instantly on the ...

Machine Learning

Researchers From Tsinghua University Introduce A Novel Machine Learning Algorithm Under The Meta-Learning Paradigm

by Editor

March 13, 2023

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Current achievements in supervised duties of deep studying might be attributed to the provision of enormous ...

NLP

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

by Editor

March 12, 2023

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Researchers from MIT and Brown College have carried out a groundbreaking research on the dynamics of ...

Machine Learning

CMU Researchers Introduce Internet Explorer: An AI Approach with Targeted Representation Learning on the Open Web

by Editor

March 10, 2023

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The preferred paradigm to resolve trendy imaginative and prescient duties, comparable to picture classification/object detection, and ...

Machine Learning

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

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March 9, 2023

0

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

NLP

UC Berkeley Researchers Propose a Novel Technique Called Chain of Hindsight (CoH) that can Enable LLMs to Learn from Any Form of Feedback Improving Model Performance

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March 6, 2023

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Over the previous few years, large-scale neural networks have drawn appreciable consideration from researchers. That is ...

Machine Learning

Microsoft and Columbia Researchers Propose LLM-AUGMENTER: An AI System that Augments a Black-Box LLM with a Set of Plug-and-Play Modules

by Editor

March 5, 2023

0

Giant language fashions (LLMs) like GPT-3 are well known for his or her capacity to generate ...

Tag: Researchers

Microsoft Researchers Propose A New AI Method That Uses Both Forward And Backward Language Models To Meet In The Middle And Improve The Training Data Efficiency

Allen Institute for AI Researchers Introduce Phone2Proc: A Lightweight Process By Which An Embodied AI Agent Can Tune To And Be Robust In A Target Real Environment

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

MIT Researchers Use Machine Learning to Build Faster and More Efficient Hash Functions That are a Key Component of Databases

Researchers From Tsinghua University Introduce A Novel Machine Learning Algorithm Under The Meta-Learning Paradigm

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

CMU Researchers Introduce Internet Explorer: An AI Approach with Targeted Representation Learning on the Open Web

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

UC Berkeley Researchers Propose a Novel Technique Called Chain of Hindsight (CoH) that can Enable LLMs to Learn from Any Form of Feedback Improving Model Performance

Microsoft and Columbia Researchers Propose LLM-AUGMENTER: An AI System that Augments a Black-Box LLM with a Set of Plug-and-Play Modules

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