Public Prompts

Free

Twitter

Facebook

Copy Link

A repository of public, free, high-quality prompts for AI creativity and development.

How Public Prompts can help you:

Access a wide range of AI prompts for free.
Enhance your AI projects with high-quality, curated prompts.
Explore a diverse library of AI models and embeddings.

Why choose Public Prompts: Key features

Vast library of AI prompts.
User-friendly interface for easy navigation.
Regular updates with new prompts, models, and embeddings.
Community support through the Public Prompts Discord server.

Who should choose Public Prompts:

Tech and AI enthusiasts.
AI project developers seeking quality prompts.
Individuals interested in exploring AI creativity tools.

About Public Prompts

Website

https://publicprompts.art

Release Date

March 2024

Pricing

Free

Related fields

Related News

Anthropic releases Claude 3 System Prompts

In a significant move towards transparency and addressing user feedback, Anthropic has publicly released the official system prompts for their Claude family of models, including Claude 3, Claude 3 Opus, and Claude 3.5 Sonet. This unveiling provides developers with valuable insights into the models' inner workings and offers guidelines for implementing similar structures in their own projects. Anthropic's commitment to openness is underscored by their decision to make these system prompts publicly available. By demystifying the default behaviors and capabilities of the Claude models, they empower developers to better understand and use these powerful AI tools. Notably, the 3.5 Sonet model and its inference pipeline remain unchanged, ensuring stability for current users. The release notes now include a dedicated section for tracking default system prompts, ensuring that any updates are clearly documented. Developers can rest assured that these updates will not affect the Anthropic API, maintaining consistency for those who rely on it. Across all Claude models, the prompts share common themes: You can find more information about the new System Prompts released by Anthropic over on the official website. Here are a selection of other articles from our extensive library of content you may find of interest on the subject of Claude 3 large language model: The release of these system prompts offers developers valuable insights into optimizing their own AI implementations. Key takeaways include: By studying and adapting these prompts, developers can create more effective and efficient AI systems that better understand and respond to user queries. The transparency provided by Anthropic serves as a valuable resource for the AI development community, fostering innovation and collaboration. As AI continues to evolve and shape various industries, the importance of well-structured system prompts cannot be overstated. Anthropic's release of the Claude 3 family prompts sets a new standard for transparency and offers developers a roadmap for creating more robust, reliable, and user-friendly AI models. By embracing these insights and incorporating them into their own projects, developers can push the boundaries of what is possible with artificial intelligence.

Geeky Gadgets

Thu, 29 Aug, 10:01 AM UTC

How to Write Better with AI: Top ChatGPT Prompts

Clear prompts are the building blocks of a successful interaction with AI. They guide ChatGPT through a process that will create content appropriate to your goals, your audience, and your tone. A well-constructed prompt ensures that the AI knows exactly what you're looking for and creates relevant, quality output. First, specify what you are trying to achieve and in what context for the target audience. For example, if this is a marketing campaign, outline the product, the demographic of the audience, and the key message. Example: "Create a social media caption for a new summer collection intended for young adults ages 18-25. Emphasize eco-friendliness and style of the product." 2. Output Specifications Describe how you want your content to be in terms of tone, length, style, and layout. Mention whether it is formal or informal, how many words/characters, and whether it is an email, chat, or essay. This will let the AI know how to build a response for your specific needs. Specify any limitations or guidelines to ensure the content is appropriate for your needs. Describe what to avoid: rules, jargon, topics-narrowing the output to relevance and focus. Example: "Avoid technical jargon and do not refer to competitors or details of pricing." 4. Output Examples Reference or examples of desired style or tone; sharing samples helps this AI understand your style preferences and adjust responses accordingly. Example: "The tone should be like BuzzFeed articles: humorous but professional."

Analytics Insight

Thu, 12 Sept, 4:03 PM UTC

Top Applications of Prompt AI in AI Model Training

With AI image generators like Midjourney, a prompt generator can identify the keywords required to obtain the most accurate results. Thus, AI prompt generators create original prompts that facilitate faster ideation and help someone come up with fresh concepts. Prompt engineering enhances AI's ability to provide concise answers to users' queries by utilizing extensive datasets. Microsoft leverages prompt engineering to fine-tune AI models while optimizing their ability to generate accurate responses, relevant to the context. It involves crafting comprehensive prompts that can guide AI's language and reasoning capabilities. By constantly following users' feedback and customizing prompts, Microsoft always tries to improve the overall performance and utilization of AI-driven applications. 2. Thomson Reuter's Streamlined Data Extraction Prompt engineering plays a pivotal role in extracting structured information from unstructured text and information while refining data analysis processes. Thomson Reuters deploys prompt engineering in legal research tools to extract relevant case law from legal document databases. It speeds up the research process for legal professionals. 3. OpenAI's Text Generation Advancements Prompt engineering in AI applications enhances marketing content, product descriptions, and creative writing. It saves time and resources while giving high-quality outputs. OpenAI utilizes prompt engineering in GPT-4 models to support companies like Copy.ai in creating compelling copy and blogs. This type of technical format enables businesses to quickly generate text while reducing the need for manual writing and editing. 4. GitHub's Enhanced Code Generation Prompt engineering assists developers by providing code snippets and solutions based on prompts. It employs prompt engineering in the Copilot tool, powered by OpenAI. It fastens code development by suggesting relevant code snippets and functions while improving coding efficiency and productivity for software developers. 5. Google's Accurate Translation Prompt engineering helps in translating text across multiple languages with accuracy and efficiency. It enables AI to interpret and generate translations based on prompts. Google implements prompt engineering in the Google Translate application for comprehensive translations. It allows seamless communication for millions of users worldwide while initiating cross-cultural interactions and business operations.

Analytics Insight

Mon, 16 Sept, 4:00 AM UTC

Why prompt engineering is one of the most valuable skills today

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In a world that is rapidly embracing large language models (LLMs), prompt engineering has emerged as a new skill to unlocking their full potential. Think of it as the language to speak with these intelligent AI systems, enabling us to tap into their vast capabilities and reshape how we create, work, solve problems and do much more. It can allow anyone -- including your grandma -- to program a complex multi-billion parameter AI system in the cloud. LLMs are fundamentally built on deep learning algorithms and architectures. They are trained on massive datasets of text. Like a human who has devoured countless books, LLMs learn patterns, grammar, relationships and reasoning abilities from data. Internal settings can be tuned to change how the model processes information and adjusted to improve accuracy. When given a prompt at the inferencing stage, the LLMs use their learned knowledge and parameters to generate the most probable and contextually relevant output. It is because of these prompts that the LLMs can generate human-quality text, hold conversations, translate languages, write different kinds of creative content and answer questions in an informative way. Many free (open source) LLMs and paid (closed source) hosted LLM services are available today. LLMs are transforming every industry as well as every aspect of our lives. Here's how: Important prompt types and techniques Prompts act as a guiding light for LLMs. A well-crafted prompt can significantly impact the quality and relevance of the output of LLMs. Imagine asking a personal assistant to "make a reservation for dinner." Depending on how much information you provide, such as preferred cuisine or time, you will get a more accurate result. Prompt engineering is the art and science of crafting prompts to elicit desired outputs from AI systems. It involves designing and refining prompts to generate accurate, relevant and creative outputs that align with the user's intent. Let us delve deeper by looking at prompt engineering techniques that can help a user guide LLMs toward desired outcomes. From practice, prompts could be broadly classified as falling into one of the following categories: The following are important techniques that have been proven to be very effective in prompt engineering: Challenges and opportunities in prompt engineering There are some challenges and opportunities in prompt engineering. Although they have improved exponentially, LLMs may still struggle with abstract concepts, humor, complex reasoning and other tasks, which often requires carefully crafted prompts. AI models also can reflect biases present in their training data. Prompt engineers need to understand this and address and mitigate potential biases in their final solutions. Additionally, different models may naturally interpret and respond to prompts in different ways, which poses challenges for generalization across models. Most LLM creators usually have good documentation along with prompt templates and other guidelines that work well for that model. It is always useful to familiarize yourself to efficiently use models. Finally, although inferencing speeds are continuously improving, effective prompting also presents an opportunity to program LLMs precisely at inference time to save compute and energy resources. As AI becomes increasingly intertwined with our lives, prompt engineering is playing a crucial role in shaping how we interact with and benefit from its power. When done right, it holds immense potential to unleash possibilities that we have not imagined yet.

VentureBeat

Sun, 22 Sept, 10:01 PM UTC

Prompt Engineering Best Practices: Creating High-Impact AI Models

Be Clear and Specific: One of the first prompt engineering best practices is clarity. When designing prompts for AI models, ambiguity should be avoided at all costs. Vague or overly broad prompts tend to yield generic or irrelevant outputs, which reduces the usefulness of the model. Instead, use clear, concise instructions or questions that guide the large language models toward producing precise and meaningful responses. For instance, rather than asking "Tell me about technology," you could specify "Explain how AI is transforming the healthcare industry." Leverage Context: When working with Artificial Intelligence, context is key. Providing detailed background information or context within your prompt can improve the accuracy of the AI's response. By incorporating relevant context, you enable AI models to generate responses that align more closely with the specific needs of your project. For example, a prompt like "What are the most significant challenges in AI development in 2024?" provides both a timeframe and subject matter, guiding the model to produce more targeted answers. Testing and Refining Prompts: Even with the best initial prompts, it is often necessary to iterate and refine them to achieve optimal performance from large language models. Invigilation of a variety of permutations of the same prompt may be a test that will tell you which of the provided structures are the most accurate or the ones that enable you to see the underlying truth. This procedure of honing prompts is a regular exercise in Prompt Engineering Best Practices, and it is key to the continuous providing of AI models with high-impact outputs. Use Multi-Part Prompts: For more complex inquiries or when you need detailed outputs, consider breaking down your prompt into multiple parts. AI models often respond more effectively when they are asked to handle smaller, more focused tasks rather than broad requests. For example, instead of asking "Summarize this 20-page document," you might ask, "What are the main themes discussed in sections 1-3 of this document?" This segmented approach can improve both the accuracy and depth of responses. Feedback Loops: Feedback loop practice should not be eliminated when implementing the prompt engineering strategy, as it is crucial for steady enhancement of the results. Based on the various outputs that have been given by the different AI models, evaluate the outcomes and modify the subsequent prompts in a like manner. Feedback guarantee that any error detected in the structuring of the prompt is corrected to guarantee high reliability throughout the operation.

Analytics Insight

Mon, 23 Sept, 8:04 PM UTC

Similar products

PromptsIdeas

PromptsIdeas is your go-to AI prompt marketplace catering to various AI models including ChatGPT, Midjourney, and DALL·E.

Contact for Pricing

PromptBase

Search 100,000+ quality AI prompts from top prompt engineers to produce better outputs and save on time & API costs.

Deals

Promptmakr

A prompt marketplace for prompt artists.

Contact for Pricing

Ordinary People Prompts

Ordinary Prompts for Ordinary People is a platform facilitating innovative ChatGPT use cases by providing, sharing, and ranking user-generated prompts.

Free

Palaxy

Palaxy is an AI-powered tool designed to optimize prompts for AI models, streamlining the process to achieve better responses in a matter of seconds.

Free

Don’t drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Spend less time searching for the latest in AI and get straight to action.

The Outpost

News

Tech Powerhouse

AI Tools

About Us Privacy Terms Content