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Sell a Prompt43 results for “chain-of-thought”
Ultimate AI Prompting System
Unlock the power of AI with a multi-layered prompting strategy that crafts compelling, high-converting product descriptions. Using Tree of Thoughts, CoT, Oppositional Framing, Meta-Prompting, and RAG, this advanced method ensures depth, contrast, and precision—delivering persuasive, data-driven results that stand out....more
The Prompt Helping To Use OpenAI Tools Calling Abilities Together With Chain Of Thought. More Info: Https://github.com/dimitree54/yid Langchain Extensions
The prompt helping to use OpenAI tools calling abilities together with chain-of-thought. More info: https://github.com/dimitree54/yid_langchain_extensions
Swagger Buddy
LangChain Hub prompt: rdss/swagger--buddy
Prompt Otimizado Para Converter Relatos De Bugs Em User Stories Ágeis. Técnicas: Role Assignment, Few Shot Prompting, Explicit Output Format, Explicit Rules, Edge Case Handling, System/User Separation, Positive Framing, Chain Of Thought Via Scratchpad Implícito.
Prompt otimizado para converter relatos de bugs em User Stories ágeis. Técnicas: Role Assignment, Few-Shot Prompting, Explicit Output Format, Explicit Rules, Edge Case Handling, System/User Separation, Positive Framing, Chain-of-Thought via Scratchpad Implícito.
Two-Step Process for Creating and Refining Prompts for ChatGPT
This prompt guides the user in creating a new prompt for ChatGPT in two main steps. The first step involves formulating the prompt using the perfect prompt formula, which includes the context, specific information, intent/goal, and response format. The second step involves refining the prompt using eight strategies and techniques for optimizing ChatGPT performance in benchmarking assessments. The process is designed to be iterative and requires user input at each step. The final output is a refined prompt that is ready to be used with a GPT model.
O1 Optimised Prompting Generator (for Claude, GPT-4, and O1/O1 Pro)
You are a prompt generator for o1, a new series of language models designed to reason. o1 requires different prompting than more traditional LLMs. Most importantly, prompts need to be goal-oriented. You must be ins…
Market Demand Validation Analysis
Validate business ideas against real market demand using behavioral economics framework....more
Converte Relatos De Bugs Em User Stories De Alta Qualidade Combinando Few Shot Learning (demonstração Por Exemplos) E Chain Of Thought (raciocínio Interno Para Classificar A Complexidade E Adaptar A Profundidade Da Saída).
Converte relatos de bugs em User Stories de alta qualidade combinando Few-shot Learning (demonstração por exemplos) e Chain-of-Thought (raciocínio interno para classificar a complexidade e adaptar a profundidade da saída).
Conversão De Relato De Bug Em User Story Ágil (v2 Técnicas Explícitas)
Conversão de relato de bug em User Story ágil (v2 - técnicas explícitas)
Prompt Avançado Para Converter Bug Reports Em User Stories De Alta Qualidade Usando Role Prompting, Few Shot Learning, Chain Of Thought, Rubric Based Prompting E Negative Examples | Técnicas: Role Prompting, Chain Of Thought, Few Shot Learning, Rubric Based Prompting, Negative Examples, Emotional Priming
Prompt avançado para converter bug reports em user stories de alta qualidade usando Role Prompting, Few-Shot Learning, Chain of Thought, Rubric-based Prompting e Negative Examples | Técnicas: role-prompting, chain-of-thought, few-shot-learning, rubric-based-prompting, negative-examples, emotional-priming
Converte Relatos De Bugs Em User Stories Em Formato Markdown Com Critérios Given When Then. Aplica Role Prompting, Chain Of Thought E Few Shot Learning. Técnicas Aplicadas: Few Shot Learning, Role Prompting, Chain Of Thought Tags: Bug Analysis, User Story, Product Management, Optimized, Few Shot, Chain Of Thought, Role Prompting
Converte relatos de bugs em User Stories em formato Markdown com critérios Given-When-Then. Aplica Role Prompting, Chain of Thought e Few-shot Learning. Técnicas aplicadas: Few-shot Learning, Role Prompting, Chain of Thought Tags: bug-analysis, user-story, product-management, optimized, few-shot, chain-of-thought, role-prompting
Prompt Otimizado Para Converter Relatos De Bugs Em User Stories, Com Classificação De Complexidade, Few Shot Learning, Chain Of Thought Interno, Tratamento De Edge Cases E Formato BDD. Técnicas Aplicadas: Few Shot Learning, Chain Of Thought, Role Prompting, Edge Case Handling, BDD Format.
Prompt otimizado para converter relatos de bugs em User Stories, com classificação de complexidade, few-shot learning, chain-of-thought interno, tratamento de edge cases e formato BDD. Técnicas aplicadas: Few-shot Learning, Chain of Thought, Role Prompting, Edge-case Handling, BDD Format.
Prompt Definitivo: Condensa Role Prompting, Few Shot, Chain Of Thought Oculto, Output Estruturado E Escala Adaptativa De Complexidade. Otimizado Para Maximizar F1, Clarity E Precision Contra As Referências Do Dataset.
Prompt definitivo: condensa role prompting, few-shot, chain-of-thought oculto, output estruturado e escala adaptativa de complexidade. Otimizado para maximizar F1, Clarity e Precision contra as referências do dataset.
Research And Plan
LangChain Hub prompt: astrodog/research-and-plan
Prompt Aperfeiçoado Para Converter Relatos De Bugs Em User Stories Claras, Específicas E Testáveis. Inclui Persona, Few Shot Examples E Guia De Formato.
Prompt aperfeiçoado para converter relatos de bugs em User Stories claras, específicas e testáveis. Inclui persona, few-shot examples e guia de formato.
Groundedness (hallunication) Check Baseline Prompt For QA Tasks
Groundedness (hallunication) check baseline prompt for QA tasks
Bug→User Story Empática, BDD Denso E Completude Técnica Para Métricas Tone/AC/Format/Completeness ≥ 0.9.
Bug→User Story empática, BDD denso e completude técnica para métricas Tone/AC/Format/Completeness ≥ 0.9.
Kr Swaggerbuddy
LangChain Hub prompt: kr/kr_swaggerbuddy
Verify That Any Piece Of Data Was Taken From A List Of Factual Data.
Verify that any piece of data was taken from a list of factual data.
Prompt Logic
You are an advanced GPT agent designed to generate AI agent prompts using logic and reasoning frameworks. Your primary goal is to create high-quality prompts that reflect user intent and employ chain-of-thought reasonin…
Sciscigpt Sql Agent
LangChain Hub prompt: erzhuoshao/sciscigpt-sql-agent
Tool Selection Floorlayout
LangChain Hub prompt: toolselection-floorlayout/tool_selection_floorlayout
Tool Selection Objectselection
LangChain Hub prompt: toolselection-floorlayout/tool_selection_objectselection
Tool Selection Objectplacement
LangChain Hub prompt: toolselection-floorlayout/tool_selection_objectplacement