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Top 8 Python prompting Projects
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graph-of-thoughts
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
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swarms
Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Real World Workflow Automation. Join our Community: https://discord.gg/DbjBMJTSWD
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InfluxDB
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self-refine
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
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stable-diffusion-webui-Prompt_Generator
An extension to AUTOMATIC1111 WebUI for stable diffusion which adds a prompt generator
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AREkit
Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML
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meta-prompting
Official implementation of BGPT @ ICLR 2024 paper "Meta Prompting for AI Systems" (https://arxiv.org/abs/2311.11482)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Prompt-Injection-Testing-Tool
The Prompt Injection Testing Tool is a Python script designed to assess the security of your AI system's prompt handling against a predefined list of user prompts commonly used for injection attacks. This tool utilizes the OpenAI GPT-3.5 model to generate responses to system-user prompt pairs and outputs the results to a CSV file for analysis.
Project mention: 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? | /r/singularity | 2023-12-08We 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
Project mention: Swarms – Automating all digital activities with millions of autonomous AI Agents | news.ycombinator.com | 2023-07-10
Project mention: Self-Refine: Iterative Refinement with Self-Feedback | news.ycombinator.com | 2023-11-23
There are a few, here's one: https://github.com/imrayya/stable-diffusion-webui-Prompt_Gen...
Project mention: Show HN: Prompt Injection Testing Tool – GitHub | news.ycombinator.com | 2024-03-20
Python prompting related posts
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Ask HN: Are there AI prompt builder products?
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Self-Refine: Iterative Refinement with Self-Feedback
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Prompt Engineering Courses are SCAM !!!!
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ChemCrow: Augmenting large-language models with chemistry tools
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ChatGPT4 is completely on rails.
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Generative Agents: Interactive Simulacra of Human Behavior
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Large Language Models Are Human-Level Prompt Engineers
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A note from our sponsor - InfluxDB
www.influxdata.com | 2 May 2024
Index
What are some of the best open-source prompting projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | graph-of-thoughts | 1,845 |
2 | swarms | 670 |
3 | self-refine | 488 |
4 | stable-diffusion-webui-Prompt_Generator | 223 |
5 | prompt-lib | 98 |
6 | AREkit | 52 |
7 | meta-prompting | 29 |
8 | Prompt-Injection-Testing-Tool | 18 |
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