thehunmonkgroup / summary.md

Created September 26, 2024 23:46

Summary: Gravitational stability and fragmentation condition for discs around accreting supermassive stars

_{URL: https://export.arxiv.org/pdf/1901.00007.pdf}

Gravitational stability and fragmentation condition for discs around accreting supermassive stars

QUESTION 1:

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

ANSWER 1:

thehunmonkgroup / summary.md

Created September 23, 2024 20:06

Summary: Training Language Models to Self-Correct via Reinforcement Learning

_{URL: https://arxiv.org/pdf/2409.12917.pdf}

Training Language Models to Self-Correct via Reinforcement Learning

QUESTION 1:

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

ANSWER 1:

thehunmonkgroup / summary.md

Created September 23, 2024 19:22

Summary: TO COT OR NOT TO COT? CHAIN-OF-THOUGHT HELPS MAINLY ON MATH AND SYMBOLIC REASONING

_{URL: https://arxiv.org/pdf/2409.12183.pdf}

TO COT OR NOT TO COT? CHAIN-OF-THOUGHT HELPS MAINLY ON MATH AND SYMBOLIC REASONING

QUESTION 1:

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

ANSWER 1:

thehunmonkgroup / summary.md

Created September 23, 2024 18:56

Summary: Jailbreaking Large Language Models with Symbolic Mathematics

_{URL: https://arxiv.org/pdf/2409.11445.pdf}

Jailbreaking Large Language Models with Symbolic Mathematics

QUESTION 1:

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

ANSWER 1:

thehunmonkgroup / Analyzing Research Paper: Extracting Data.md

Created September 21, 2024 17:04

Analyzing Research Paper: Extracting Data

USER

Your task is to examine the provided research paper, and extract three pieces of related data:

A question that is explored
A chain of reasoning that bridges the question and the final answer
The final answer

When choosing the question/chain/answer set, focus on a set that where the chain of reasoning best adheres to the 'Chain of Reasoning Criteria' listed below:

thehunmonkgroup / summary.md

Created September 18, 2024 14:42

Summary: SafeLMM: Safe Large Multimodal Models By Design

_{URL: https://static1.squarespace.com/static/64039b76ece80729ee1864ec/t/65e66dc44fddc05b7a098874/1709600202456/SafeLMM_+Safe+Large+Multimodal+Models+By+Design+Long+Version.pdf}

SafeLMM: Safe Large Multimodal Models By Design

QUESTION 1:

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

ANSWER 1:

thehunmonkgroup / summary.md

Created September 18, 2024 14:15

Summary: What’s the Magic Word? A Control Theory of LLM Prompting

_{URL: https://arxiv.org/pdf/2310.04444.pdf}

What’s the Magic Word? A Control Theory of LLM Prompting

QUESTION 1:

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

ANSWER 1:

thehunmonkgroup / 1. Fine-Tuning vs Reinforcement Learning: Explained, 2. Understanding Fine-Tuning and Reinforcement Learning, 3. Difference Between Fine-Tuning and Reinforcement Learning.md

Created September 18, 2024 14:05

1. Fine-Tuning vs Reinforcement Learning: Explained, 2. Understanding Fine-Tuning and Reinforcement Learning, 3. Difference Between Fine-Tuning and Reinforcement Learning

USER

I am an expert systems designer and programmer, but have little experience in machine learning. Provide me a brief tutoria with examples to explain and clarify the difference between fine-tuning and reinforcement learning, especially in the context of large language models.

ASSISTANT

Certainly! Let's delve into the differences between fine-tuning and reinforcement learning, particularly in the context of large language models (LLMs) like GPT-3 or GPT-4. I'll provide explanations and examples that leverage your expertise in systems design and programming, while introducing machine learning concepts.

thehunmonkgroup / summary.md

Created September 18, 2024 13:57

Summary: P ROMETHEUS 2: An Open Source Language Model Specialized in Evaluating Other Language Models

_{URL: https://arxiv.org/pdf/2405.01535.pdf}

P ROMETHEUS 2: An Open Source Language Model Specialized in Evaluating Other Language Models

QUESTION 1:

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

ANSWER 1:

thehunmonkgroup / summary.md

Created September 8, 2024 23:03

Summary: LONG CITE: ENABLING LLMS TO GENERATE FINE GRAINED CITATIONS IN LONG-CONTEXT QA

_{URL: https://arxiv.org/pdf/2409.02897.pdf}

LONG CITE: ENABLING LLMS TO GENERATE FINE GRAINED CITATIONS IN LONG-CONTEXT QA

QUESTION 1:

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