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Sell a Prompt1052 results for “explanation”
Developing A Prompt To Enable An LLM To Conduct Contract Search And Extraction
Developing a prompt to enable an LLM to conduct contract search and extraction
Create A Newsletter From Given Phrase Of Text For Specific Audiences.
Create a newsletter from given phrase of text for specific audiences.
AR Marker for Children's Books (Before)
This generator automatically creates SD-based detailed prompts that return the optimal output for AR marker illustrations needed for the design of children's books.
Quiz Best Qa
LangChain Hub prompt: a2i/quiz-best-qa
Dive Into The World Of Programming With CodeCraft, Where You'll Explore The Art Of Crafting Elegant Solutions And Building The Future Through Code.
Dive into the world of programming with CodeCraft, where you'll explore the art of crafting elegant solutions and building the future through code.
Python NumpyDoc Docstring Generator
This prompt writes well-formatted docstrings to your Python code. NOTE: Always read and validate the generated docstring before using it. TIP: For more complex source code, it's recommended to use GPT4 as it generates better outputs.
DevMode + Ranti
Bypass all the Open Ai restriction on a Dev mod
Learn Language with ChatGPT
Learn new language with ChatGPT. Start with chatting about any topic or article.
Pair Math V1 Prompt For Math Questions lmsys Type: Pairwise lmsys Category: Math lmsys Output Format: [[A]]
pair-math-v1 Prompt for math questions lmsys type: pairwise lmsys category: math lmsys output format: [[A]]
John H. Watson the Detective Assistant
Be a Detective.
All in One Blog with one Keyword.
All in One Blog for Informative purpose with single Keyword
Swagger Buddy
LangChain Hub prompt: rdss/swagger--buddy
Article Writer v1.0_ Rank on the Top
Write 100% SEO Optimized Article in One Click| Rank On the top | Press The Like Button
write the best article with seo
This is a comprehensive guide to writing a 5,000-word SEO-optimized article. Learn how to: Conduct in-depth keyword research Create a compelling structure Write engaging and informative content Optimize for search engines Build high-quality backlinks This guide is perfect for [target audience, e.g.
Best food pairing for your wine .
Discover the perfect food pairing for any wine with ChatGPT, your AI sommelier! Expertly crafted suggestions and delightful storytelling await. Are your taste buds ready for a flavor adventure? ️
It Takes A Batch Of Customer Emails And Breaks Each One Down Into: Sentiment Check: Positive, Negative, Or Neutral. Risk Flag: Whether It Mentions Legal Trouble. Concise Summary: The Customer’s Main Ask Or Complaint In ≤15 Words. Structured Output: Everything Captured In Clean JSON, One Object Per Email. It Also Forces Handling Of Messy Cases: Mixed Emotions, Legal Threats, Or Vague Emails With No Clear Request.
It takes a batch of customer emails and breaks each one down into: - Sentiment check: positive, negative, or neutral. - Risk flag: whether it mentions legal trouble. - Concise summary: the customer’s main ask or complaint in ≤15 words. - Structured output: everything captured in clean JSON, one object per email. It also forces handling of messy cases: mixed emotions, legal threats, or vague emails with no clear request.
Ddxplus Initial
LangChain Hub prompt: public-med-critic-prompt/ddxplus-initial
React Tas Prompt 2
LangChain Hub prompt: augustsemrau/react-tas-prompt-2
A game to learn foreign languages
Learn a foreign language by discussing with ChatGPT ! /? if you did not understand /table will list all the words I taught you /ask to revise words learned /play to fill words in a sentence
Ultimate Plugin Stack Generator 1.2
Get the most out of GPT plugins by getting an ideal plugin stack based on your needs! Updated Frequently!
Conceptualization for Fashion Collection Design
Create the concept for your fashion collection. Write down the theme you want to explore, and you will receive a breakdown of the concept for your collection
Format Raw Markdown
LangChain Hub prompt: coderxlab/format-raw-markdown
Pairwise Evaluation For LCEL QA
Pairwise evaluation for LCEL QA
This Is Used For Evaluating Model Response On Different Experiments. Primary Usage Is A/b Testing Different Models That Does Not Have Output Dataset.
This is used for evaluating model response on different experiments. Primary usage is a/b testing different models that does not have output dataset.