graph-of-thoughts
ToolEmu
graph-of-thoughts | ToolEmu | |
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2 | 3 | |
1,895 | 87 | |
5.3% | - | |
6.4 | 5.5 | |
about 1 month ago | about 2 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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graph-of-thoughts
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Q* Could Be It - Forget AlphaGO - It's Diplomacy - Peg 1 May Have Fallen - Noam Brown May Have Achieved The Improbable - Is this Q* Leak 2.0?
We introduce Graph of Thoughts (GoT): a framework that advances prompting capabilities in large language models (LLMs) beyond those offered by paradigms such as Chain-ofThought or Tree of Thoughts (ToT). The key idea and primary advantage of GoT is the ability to model the information generated by an LLM as an arbitrary graph, where units of information (“LLM thoughts”) are vertices, and edges correspond to dependencies between these vertices. This approach enables combining arbitrary LLM thoughts into synergistic outcomes, distilling the essence of whole networks of thoughts, or enhancing thoughts using feedback loops. We illustrate that GoT offers advantages over state of the art on different tasks, for example increasing the quality of sorting by 62% over ToT, while simultaneously reducing costs by >31%. We ensure that GoT is extensible with new thought transformations and thus can be used to spearhead new prompting schemes. This work brings the LLM reasoning closer to human thinking or brain mechanisms such as recurrence, both of which form complex networks. Website & code: https://github.com/spcl/graph-of-thoughts
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Graph of Thoughts: Solving Elaborate Problems with Large Language Models
https://github.com/spcl/graph-of-thoughts Code for the paper too
ToolEmu
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[R] Identifying the Risks of LM Agents with an LM-Emulated Sandbox - University of Toronto 2023 - Benchmark consisting of 36 high-stakes tools and 144 test cases!
Website: https://toolemu.com/
- ToolEmu: Identifying the Risks of LM Agents with an LM-Emulated Sandbox
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Identifying the Risks of LM Agents with an LM-Emulated Sandbox - University of Toronto 2023 - Benchmark consisting of 36 high-stakes tools and 144 test cases!
Github: https://github.com/ryoungj/toolemu
What are some alternatives?
trex - Enforce structured output from LLMs 100% of the time
LOGICGUIDE - Plug in and Play implementation of "Certified Reasoning with Language Models" that elevates model reasoning by 40%
prompttools - Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
ethics - Aligning AI With Shared Human Values (ICLR 2021)
llm-guard - The Security Toolkit for LLM Interactions
lumos - Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"
prompt-lib - A set of utilities for running few-shot prompting experiments on large-language models
ChainFury - 🦋 Production grade chaining engine behind TuneChat. Self host today!
promptmap - automatically tests prompt injection attacks on ChatGPT instances