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awesome-prompts
Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.
https://github.com/ai-boost/awesome-prompts
- đź’»Professional Coder - boost/awesome-gpts-prompts/blob/main/prompts/%F0%9F%92%BBProfessional%20Coder.md) |
- đź‘ŚAcademic Assistant Pro - boost/awesome-gpts-prompts/blob/main/prompts/%F0%9F%91%8CAcademic%20Assistant%20Pro.md) |
- ✏️All-around Writer - boost/awesome-gpts-prompts/blob/main/prompts/%E2%9C%8F%EF%B8%8FAll-around%20Writer%20(Professional%20Version).md) |
- đź“—All-around Teacher - boost/awesome-gpts-prompts/blob/main/prompts/%F0%9F%93%97All-around%20Teacher.md) |
- AutoGPT - boost/awesome-prompts/blob/main/prompts/AutoGPT.md) (The prompt is urgly and not stable now, let's improve it together!) |
- Auto Literature Review Link
- Scholar GPT Pro Link
- Paraphraser & Proofreader Link
- AI Detector Pro Link
- Paper Review Pro Link
- Auto Thesis PPT Link
- Paper Interpreter Pro Link
- Data Analysis Link
- PDF Translator Link
- AI Detector Link
- AutoGPT Link
- TeamGPT Link
- GPT Link
- AwesomeGPTs Link
- Prompt Engineer Link
- Paimon Link
- Link
- Jessica Link
- Logo Designer Link
- Text Adventure RGP Link
- Alina Link
- My Boss Link
- My Excellent Classmates Link
- I Ching divination Link
- prompt - Ranedeer-AI-Tutor) |
- prompt
- prompt
- prompt
- prompt
- prompt
- prompt
- prompt
- prompt
- Official OpenAI Tutor
- PAPER PDF LINK
- Chainlit
- Embedchain
- FLAML (A Fast Library for Automated Machine Learning & Tuning)
- Guardrails.ai
- Guidance
- Haystack - source LLM orchestration framework to build customizable, production-ready LLM applications in Python.
- HoneyHive
- LangChain
- LiteLLM
- LlamaIndex
- LMQL
- OpenAI Evals - source library for evaluating task performance of language models and prompts.
- Outlines - specific language to simplify prompting and constrain generation.
- Parea AI
- Portkey
- Promptify
- PromptPerfect
- Prompttools - source Python tools for testing and evaluating models, vector DBs, and prompts.
- Scale Spellbook
- Semantic Kernel
- Weights & Biases
- YiVal - source GenAI-Ops tool for tuning and evaluating prompts, retrieval configurations, and model parameters using customizable datasets, evaluation methods, and evolution strategies.
- Brex's Prompt Engineering Guide
- learnprompting.org
- Lil'Log Prompt Engineering
- OpenAI Cookbook: Techniques to improve reliability
- promptingguide.ai
- Xavi Amatriain's Prompt Engineering 101 Introduction to Prompt Engineering
- Andrew Ng's DeepLearning.AI
- Andrej Karpathy's Let's build GPT
- Prompt Engineering by DAIR.AI - hour video on various prompt engineering techniques.
- Scrimba course about Assistants API - minute interactive course about the Assistants API.
- LinkedIn course: Introduction to Prompt Engineering: How to talk to the AIs
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (2022) - shot prompts to ask models to think step by step improves their reasoning. PaLM's score on math word problems (GSM8K) rises from 18% to 57%.
- Self-Consistency Improves Chain of Thought Reasoning in Language Models (2022) - davinci-002`'s from 60% to 78%.
- Tree of Thoughts: Deliberate Problem Solving with Large Language Models (2023) - 4`'s scores on creative writing and crosswords.
- Language Models are Zero-Shot Reasoners (2022) - following models to think step by step improves their reasoning. It lifts `text-davinci-002`'s score on math word problems (GSM8K) from 13% to 41%.
- Large Language Models Are Human-Level Prompt Engineers (2023) - written prompt in Language Models are Zero-Shot Reasoners.
- Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling (2023) - of-thought prompts improved ChatGPT's scores on a few benchmarks by 0–20 percentage points.
- Faithful Reasoning Using Large Language Models (2022) - inference loops, a value function to search over multiple reasoning paths, and sentence labels that help avoid hallucination.
- STaR: Bootstrapping Reasoning With Reasoning (2022) - tuning. For tasks with an answer key, example chains of thoughts can be generated by language models.
- ReAct: Synergizing Reasoning and Acting in Language Models (2023)
- Reflexion: an autonomous agent with dynamic memory and self-reflection (2023)
- Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP (2023) - then-read" can be improved with multi-hop chains of searches.
- Improving Factuality and Reasoning in Language Models through Multiagent Debate (2023)
- Awesome GPTs
Programming Languages
Keywords
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