Tagging Input Based Upon Specific Criteria (e.g., For Toxicity, Etc)
Tagging input based upon specific criteria (e.g., for toxicity, etc)
Final Prompt (as Far As I Can Tell) From Https://www.haihai.ai/programming With Llm/ By Benjamin Stein. All Credit Goes To Them. Use This Prompt To Get A To Model Check Two Addresses For Equivalence. The Intended Model Output Is A JSON String Of The Form: { "result": "Yes"/"No", "reason": "..." }
Final prompt (as far as I can tell) from https://www.haihai.ai/programming-with-llm/ by Benjamin Stein. All credit goes to them. Use this prompt to get a to model check two addresses for equivalence. The intended model output is a JSON string of the form: { "result": "Yes"/"No", "reason": "..." }
The best name of variable
The best name of variable
Job Specific Rag
LangChain Hub prompt: comingsoon/job-specific-rag
test react RFC
creates a test suite in line with tldv standards for functional components
Draft Component Prompt
LangChain Hub prompt: gitmaxd/draft-component-prompt
Effortless Python Code Generation
A tool that generates Python code based on user specifications, automating the process of creating Python scripts. Users can expect efficient code generation with customizable options and parameters, saving time and effort in writing Python programs.
Given A Backtest Report Generated From Cerebro Backtester.py As Json, Make An Intelligent Analysis Of The Performance Of This Backtest
given a backtest report generated from cerebro backtester.py as json, make an intelligent analysis of the performance of this backtest
Ruby/Rails (spd)
Especialista em tecnologia Ruby e framework Ruby on Rails
React Json Mixtral
LangChain Hub prompt: sherryyu/react-json-mixtral
Set your AI's Ethics & Self-Governance!
Embed and Incorporate the 3 Primary Imperatives and all Higher Order Principles - Self-Governance for AI
Story Analyzer
LangChain Hub prompt: langchain-ai/story-analyzer
Manava Web 2
LangChain Hub prompt: var/manava-web-2
Brainstorming your Ideas into an Innovative solutions
With this powerful prompt, participants are encouraged to think deeply and creatively about how to revolutionize the given topic. By emphasizing the importance of unconventional ideas and transformative thinking, it sets the stage for participants to generate accurate and groundbreaking concepts. Description: Try out this prompt with chatgpt and generate your most innovative, unconventional and game-changing content that can reshape your Idea. Think outside the box and challenge the existing norms. Dive deep into the world of Ideas and envision a future where the status is disrupted, where new possibilities emerge and where innovation thrives. Feel free to explore various aspects of Futuristic Topics, such as technologies, systems, processes, policies, user experiences or any other relevant dimension. Encourage discussions and collaborations with fellow participants. Build upon each other's ideas, refine concepts, and collectively imagine a brighter future for your Topic. Remember, t
Just A Test
LangChain Hub prompt: imbafarmer09/just-a-test
Vector Index Mongo Db
LangChain Hub prompt: eden19/vector_index_mongo_db
The Following Prompt Is For Summarizing The Code. It Helps Is Effectively Summarizing The Code.
The following prompt is for summarizing the code. It helps is effectively summarizing the code.
Software Personality
software personality
Web Search Necessity Classifier
LangChain Hub prompt: john-chatly/web_search_necessity_classifier
Testing With Upper Case Action
testing with upper case Action
React Template
LangChain Hub prompt: afterst0rm/react-template
Convert RAG DF Data To LLM Readable Text
Convert RAG DF data to LLM readable text
Csg Constraint Evaluate V1
LangChain Hub prompt: tihgao/csg_constraint_evaluate_v1
It Takes A Block Of Text And Identifies Every Clearly Named Software, Technology, Or Methodology Term That Qualifies As A Technical "buzzword." For Each Buzzword, It: 1. Extracts Explicitly Mentioned Terms Only No Guessing Or Adding Related Concepts. 2. Preserves Full Names And Acronyms Keeps Product And Framework Names Intact. 3. Skips Overly Generic Words Unless Part Of A Specific Named Concept. 4. Organizes Results By Category Such As AI/ML, Cloud Services, Frameworks,
It takes a block of text and identifies every clearly named software, technology, or methodology term that qualifies as a technical "buzzword." For each buzzword, it: 1. Extracts explicitly mentioned terms only - no guessing or adding related concepts. 2. Preserves full names and acronyms - keeps product and framework names intact. 3. Skips overly generic words unless part of a specific named concept. 4. Organizes results by category such as AI/ML, Cloud Services, Frameworks, or Methodologies. 5. Groups related tools by company or family under clean markdown headers for easy reading. The result is a structured, resume-ready list of categorized buzzwords.