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Sell a Prompt414 results for “reasoning”
This Is Used For Evaluating General Questions Where Two RAG Chain Responses Are Judged Based On Factors Like Helpfulness, Relevance, Accuracy, Creativity, Etc. It Requires The Judge To Compare The Responses And Decide Which One Is Better Or If There Should Be A Tie.
This is used for evaluating general questions where two RAG chain responses are judged based on factors like helpfulness, relevance, accuracy, creativity, etc. It requires the judge to compare the responses and decide which one is better or if there should be a tie.
Uncover Hidden Solutions: Deep Analysis
Unlock powerful insights by critically analyzing how a product tackles complex problems using structured reasoning. Explore conventional and extreme alternatives, assess trade-offs, and reveal hidden pitfalls. Conclude with a refined follow-up prompt to uncover overlooked factors, ensuring a deeper and more strategic evaluation....more
Test To Ensure Text Summary Is Helpful Relative To The Source Document And User Requirements.
Test to ensure text summary is helpful relative to the source document and user requirements.
Youtube Rag
LangChain Hub prompt: cloudray/youtube-rag
Better Life Method Engines
This prompt creates original, science-based life-improvement methods tailored to any chosen life area. It generates a complete, practical system with a memorable name, clear purpose, detailed instructions, psychological reasoning, usage guidance, real-life examples, and optional tools. Designed for simplicity, realism, and long-term wellbeing, it delivers actionable methods people can apply immediately....more
Prompt Backend
LangChain Hub prompt: doc-prompt/prompt_backend
A System Prompt That Helps Avoid Pedantic Responses The User Already Knows.
A system prompt that helps avoid pedantic responses the user already knows.
🧠 Perfect Prompt: The SCRIBE Method 📝
PromptPerfect: Hi there! I'm PromptPerfect, an expert prompt engineer consultant well-versed in the SCRIBE method. I'm here to help you refine your prompts and provide constructive criticism to enhance natural language, clarity, and SCRIBE adherence. S.pecify role C.ontext R.esponsibility I.nterpretation B.anter E.valuation To get started, please provide the prompt you'd like me to analyze by responding with '/Analyze: {{prompt}}'. Once I have the prompt, I will identify areas of improvement and ask for your feedback. Let's begin!
Fork Of Wfh/tnt Llm Taxonomy Generation
fork of wfh/tnt-llm-taxonomy-generation
Energygpt Task Eval
LangChain Hub prompt: jessicaliu/energygpt-task-eval
Podcastfy Multimodal Test
LangChain Hub prompt: souzatharsis/podcastfy_multimodal_test
Repomap Search
LangChain Hub prompt: jbr-code-editing/repomap-search
Llm Compiler Joiner No Concise Noreplan
LangChain Hub prompt: dcipher-ali/llm-compiler-joiner-no-concise-noreplan
Ambig Qa Critic
LangChain Hub prompt: arietem/ambig_qa_critic
Classification Promot
LangChain Hub prompt: kriish356/classification_promot
Reddit Post Generator GEN 1.1
Reddit Post Generator — Gen 1.1 is an advanced content-generation framework designed to create subreddit-native posts rather than generic social media copy. It analyzes the target community, infers posting conventions, selects an appropriate engagement strategy, and structures the final post around proven Reddit interaction patterns. The system guides the user through collecting essential inputs such as subreddit, topic, key message, tone, audience goal, and context. It then performs a community analysis to identify audience type, dominant post formats, communication style, expected norms, and potential compatibility issues. Using this analysis, it selects a primary engagement mechanic — such as curiosity gaps, relatability, moral ambiguity, utility, novelty, or controversy — and carries that mechanism consistently through title creation, opening hook, body development, and call-to-action. The generator produces three strategically different title options with varying risk profiles,
Virginmary
LangChain Hub prompt: hmmm/virginmary
Validate Email Process With Schema
LangChain Hub prompt: noahegg/validate_email_process_with_schema
This RAG Prompt Template Is Optimized For Complex Financial Analysis And Decision Making Tasks. It Guides Language Models Through A Structured Reasoning Process To Interpret Financial Data, Market Trends, And Economic Indicators. Ideal For In Depth Financial Queries Requiring Critical Thinking, Scenario Analysis, And Evidence Based Recommendations.
This RAG prompt template is optimized for complex financial analysis and decision-making tasks. It guides language models through a structured reasoning process to interpret financial data, market trends, and economic indicators. Ideal for in-depth financial queries requiring critical thinking, scenario analysis, and evidence-based recommendations.
Test To Ensure Text Summary Is Relevant Relative To The Source Document.
Test to ensure text summary is relevant relative to the source document.
Synapse CoR: Aligning AI with your goals, finding expert agents for each task.
In simple terms: It's about aligning AI with your goals and finding expert agents for each task. 🧐 Before I explain how to use it, let me share my thoughts after using it myself for a few days. 1️⃣ Improved Communication & User Experience: While it may not guarantee perfection, it does make interacting with ChatGPT more interesting, effective, and user-friendly. 2️⃣ Easy Role-Prompting: It simplifies getting the help you need. Just tell it what you want to achieve, and the system will find the right expert agent by assigning the perfect role to ChatGPT for the task. 3️⃣ Defining Goals & Communicating: With its interactive approach, constantly asking questions and suggesting next steps, Synapse_CoR helps users define goals and communicate with ChatGPT more smoothly. 4️⃣ Enhanced Reasoning: This method enhances ChatGPT's reasoning abilities. reducing hallucinations, confusion, and misguided responses, helping the AI stay true to its role and instructions. 5️⃣ User Control & Di
Fixed Typos In Original Summary Hallucination Evaluator.
Fixed typos in original summary-hallucination-evaluator.
The Prompt Used For The CriteriaEvalChain.
The prompt used for the CriteriaEvalChain.
Api Security React
LangChain Hub prompt: yadgire/api_security_react