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New Paradigm: AI Research Summaries

Technology

Activity Overview

Episode publication activity over the past year

Episodes

Showing 101-115 of 115
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A Summary of Microsoft's 'Make Your LLM Fully Utilize the Context'

28 Apr 2024

Contributed by Lukas

A Summary of Microsoft, Jiaotong University & Peking University's 'Make Your LLM Fully Utilize the Context' Available at: https://arxiv.org/abs/...

A Summary of Microsoft Research's 'Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone'

23 Apr 2024

Contributed by Lukas

A Summary of Microsoft Research's 'Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone' Available at: https://arxiv.org/ab...

A Summary of Google's 'Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention'

23 Apr 2024

Contributed by Lukas

A Summary of Google's 'Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention' Available at: https://arxiv.org/abs/2...

A Summary of Tencent AI Lab's 'Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing'

22 Apr 2024

Contributed by Lukas

A Summary of Tencent AI Lab's 'Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing' Available at: https://arxiv.org/abs/2404...

A Summary of Microsoft Research's 'VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time'

22 Apr 2024

Contributed by Lukas

A Summary of Microsoft Research's 'VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time' Available at: https://arxiv.org/abs/2404.1066...

A Summary of MIT & Harvard's 'Automated Social Science: Language Models as Scientist and Subjects'

21 Apr 2024

Contributed by Lukas

A Summary of MIT & Harvard's 'Automated Social Science: Language Models as Scientist and Subjects' Available at: https://arxiv.org/abs/2404.1179...

A Summary of Microsoft Research's 'The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits'

20 Apr 2024

Contributed by Lukas

This is a summary of the AI research paper: The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Available at: https://arxiv.org/abs/2402...

A Summary of 'Long-form factuality in large language models' by Google Deepmind and Stanford University

28 Mar 2024

Contributed by Lukas

This is a summary of the AI research paper: Long-form factuality in large language models Available at: https://arxiv.org/pdf/2403.18802.pdf And is ...

A Summary of MIT & Sequoia Capital's 'The Unreasonable Ineffectiveness of the Deeper Layers'

27 Mar 2024

Contributed by Lukas

This is a summary of the AI research paper: The Unreasonable Ineffectiveness of the Deeper Layers Available at: https://arxiv.org/pdf/2403.17887.pdf T...

A Summary of Microsoft Research and Carnegie Mellon's 'Can large language models explore in-context?'

27 Mar 2024

Contributed by Lukas

This is a summary of the AI research paper: Can large language models explore in-context? Available at: https://arxiv.org/pdf/2403.15371.pdf This su...

A Summary of Salesforce AI Research 'AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System'

26 Mar 2024

Contributed by Lukas

This is a summary of the AI research paper: AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System Available at: ...

A Summary of 'LLM Agent Operating System'

26 Mar 2024

Contributed by Lukas

This is a summary of the AI research paper: LLM Agent Operating System Available at: https://arxiv.org/abs/2403.16971 This summary is AI generated, ...

A Summary of 'Is Cosine-Similarity of Embeddings Really About Similarity?'

23 Mar 2024

Contributed by Lukas

This is a summary of the AI research paper: Is Cosine-Similarity of Embeddings Really About Similarity? Available at: https://arxiv.org/pdf/2403.0544...

A Summary of 'Arcee’s MergeKit: A Toolkit for Merging Large Language Models'

23 Mar 2024

Contributed by Lukas

This is a summary of the AI research paper: Arcee’s MergeKit: A Toolkit for Merging Large Language Models Available at: https://arxiv.org/pdf/2403.1...

A Summary of 'MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training'

22 Mar 2024

Contributed by Lukas

This is a summary of the AI research paper: MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training Available at: https://arxiv.org/a...

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