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thehunmonkgroup / Summary: Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost.md
Created June 23, 2024 00:32
Summary: Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost

USER

Review the following paper and answer any questions based on the content of the paper. The paper should be regarded as the source of truth when answering any questions.

Paper

Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost Masha Belyi∗

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thehunmonkgroup / Summary: Grokfast: Accelerated Grokking by Amplifying Slow Gradients.md
Created June 21, 2024 20:29
Summary: Grokfast: Accelerated Grokking by Amplifying Slow Gradients

USER

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?


ASSISTANT

Certainly! Here's a clear and concise breakdown of the core assertions, implications, and mechanics presented in the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients":

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thehunmonkgroup / Summary: The Prompt Report: A Systematic Survey of Prompting Techniques.md
Created June 12, 2024 15:25
Summary: The Prompt Report: A Systematic Survey of Prompting Techniques

USER

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?


ASSISTANT

Certainly! Here’s a clear breakdown of the core assertions, implications, and mechanics elucidated in the paper "The Prompt Report: A Systematic Survey of Prompting Techniques":

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thehunmonkgroup / Summary: Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models.md
Created June 9, 2024 23:58
Summary: Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

USER

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?


ASSISTANT

Certainly! Here's a clear breakdown of the core assertions, implications, and mechanics elucidated in the paper "Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models":

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thehunmonkgroup / Summary: Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization.md
Created June 8, 2024 01:05
Summary: Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization

USER

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?


ASSISTANT

Certainly! Here's a clear and concise breakdown of the core assertions, implications, and mechanics elucidated in the paper "Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization":

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thehunmonkgroup / Summary: Parrot: Efficient Serving of LLM-based Applications with Semantic Variable.md
Created June 4, 2024 04:23
Summary: Parrot: Efficient Serving of LLM-based Applications with Semantic Variable

USER

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?


ASSISTANT

Certainly! Here's a clear breakdown of the core assertions, implications, and mechanics elucidated in the paper "Parrot: Efficient Serving of LLM-based Applications with Semantic Variable":

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thehunmonkgroup / Summary: Large Language Models Can Self-Improve At Web Agent Tasks.md
Created June 4, 2024 04:20
Summary: Large Language Models Can Self-Improve At Web Agent Tasks

USER

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?


ASSISTANT

Certainly! Here’s a clear breakdown of the core assertions, implications, and mechanics discussed in the paper "Large Language Models Can Self-Improve At Web Agent Tasks":

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thehunmonkgroup / Summary: Testing theory of mind in large language models and humans.md
Created May 21, 2024 14:28
Summary: Testing theory of mind in large language models and humans

USER

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?


ASSISTANT

Certainly! Here's a clear breakdown of the core assertions, implications, and mechanics elucidated in the paper "Testing theory of mind in large language models and humans":

@thehunmonkgroup
thehunmonkgroup / Summary: The Future of Large Language Model Pre-training is Federated.md
Created May 20, 2024 03:09
Summary: The Future of Large Language Model Pre-training is Federated

USER

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?


ASSISTANT

Certainly! Here's a clear breakdown of the core assertions, implications, and mechanics elucidated in the paper "The Future of Large Language Model Pre-training is Federated":

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thehunmonkgroup / Summary: How Far Are We From AGI?.md
Created May 20, 2024 02:01
Summary: How Far Are We From AGI?

USER

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?


ASSISTANT

Certainly! This paper, "How Far Are We From AGI?" by Tao Feng et al., provides a comprehensive exploration of the current state, challenges, and future directions in the pursuit of Artificial General Intelligence (AGI). Here’s a clear breakdown of the core assertions, implications, and mechanics elucidated in the paper: