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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":

@thehunmonkgroup
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":

@thehunmonkgroup
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":

@thehunmonkgroup
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":

@thehunmonkgroup
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":

@thehunmonkgroup
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":

@thehunmonkgroup
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:

@thehunmonkgroup
thehunmonkgroup / Summary: AutoDev: Automated AI-Driven Development.md
Created May 20, 2024 00:59
Summary: AutoDev: Automated AI-Driven Development

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 on AutoDev:

@thehunmonkgroup
thehunmonkgroup / Summary: KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking.md
Created May 13, 2024 18:47
Summary: KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking

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 "KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking":