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Try our AI-driven prompt generator and unlock your creativity! Get unique writing prompts tailored to your needs and start writing now.

Are you struggling to come up with fresh ideas for your projects? Look no further! Whether you're a writer, blogger, or student, an AI prompt generator will help spark your creativity with powerful prompts for tools like ChatGPT.

With our AI prompt generator, you can generate an endless stream of prompts that are tailored to your specific needs and preferences. Simply type your desired criteria, such as genre, tone, or topic, and our algorithm will generate a unique AI output that matches your criteria.

Here's everything you need to know to get started.

What Is an AI Prompt Generator

An AI prompt generator is a tool that uses natural language processing and machine learning algorithms to generate prompts for AI tools like ChatGPT developed by OpenAI. A prompt is simply a starting point or an idea that helps kickstart your project. It can be a word, a phrase, or a question that inspires you to create something unique with the help of artificial intelligence.

The AI prompt generator can create prompts based on different criteria, such as type of the project, genre, tone, style, length, or even specific keywords or concepts. For example, if you're working on a business project and need to generate some marketing copy, you could input your target audience, product features, and desired tone into the AI prompt generator.

Why Use a Prompt Generator?

There are several reasons why someone might choose to use an AI prompt generator for their projects. An AI prompt generator responses can provide a starting point or idea that may help overcome creative blocks or inspire new ideas. This is particularly useful for writers, artists, or anyone working in a creative field, as it can be difficult to come up with fresh ideas on a regular basis.

The AI prompt generator can help to save time and increase productivity. Instead of spending hours brainstorming ideas or researching topics, a user can input their desired criteria into the AI prompt generator and generate multiple effective prompts in a matter of seconds. This can help to streamline the creative process and allow more time for actual creation and refinement. You can generate:

Prompts for personal growth, self-reflection, or self-improvement

Complex prompts for problem-solving, critical thinking, or decision-making

Prompts for marketing, advertising, or branding

Prompts for product development, innovation, or design

Concise prompts for social media content, blog posts, or articles

Prompts for speech recognition, sentiment analysis, or chatbots

Prompts for image recognition, object detection, or classification

Prompts for music composition, art creation, or graphic design

Prompts for education, training, or teaching

Prompts for research, analysis, or experimentation

Prompts for entertainment, gaming, or storytelling

And much more!

How To Create a Prompt With This Prompt Generator?

1. Click "Use Generator" to create a project instantly in your workspace.

2. Click "Save Generator" to create a reusable template for you and your team.

3. Customize your project, make it your own, and get work done!

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Looking for inspiration? Try our AI-driven prompt generator and unlock your creativity! Get unique writing prompts tailored to your needs and start writing now.

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Poe lets you ask questions, get instant answers, and have back-and-forth conversations with AI. Gives access to GPT-4, gpt-3.5-turbo, Claude from Anthropic, and a variety of other bots.

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GammaApp: Δημιουργία παρουσιάσεων με χρήση ΑΙ

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GammaApp: Δημιουργία παρουσιάσεων με χρήση ΑΙ

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Ανοικτή Βιβλιοθήκη - Ελεύθερα ψηφιακά βιβλία // Ελληνικά δωρεάν e-books

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Η τεχνητή νοημοσύνη έχει κάνει σοβαρά βήματα στην εκπαίδευση, ειδικά με την ανάπτυξη εργαλείων προγραμματισμού και τεχνολογιών που επιτρέπουν ακόμη και σε μαθητές μικρότερων ηλικιών να τα χρησιμοποιούν αποτελεσματικά.

Αυτός ο οδηγός χωρίζεται σε τρία μέρη. Στο πρώτο μέρος, παρέχουμε μια σύντομη ιστορία της ανάπτυξης της τεχνητής νοημοσύνης, ξεκινώντας από αρχαίους μύθους και θρύλους και μεταβαίνοντας στην τρέχουσα εποχή των τεχνολογικών ανακαλύψεων.

Στο δεύτερο μέρος, εξετάζουμε δραστηριότητες που μπορούν να χρησιμοποιηθούν στην τάξη, από την πρωτοβάθμια έως τη δευτεροβάθμια εκπαίδευση. Ορισμένες είναι δομημένες, διαδραστικές δραστηριότητες που επιτρέπουν στους μαθητές να μάθουν περισσότερα για την τεχνητή νοημοσύνη και τη μηχανική μάθηση (EU CodeWeek, code.org), ενώ άλλες είναι ανοιχτού τύπου και μπορούν να εφαρμοστούν σε διάφορα μαθήματα του προγράμματος σπουδών (για παράδειγμα, γεννήτριες εικόνων AI).

Στο τρίτο μέρος, μαθαίνουμε περισσότερα για τα μοντέλα εκπαίδευσης και τα παιχνίδια προγραμματισμού που χρησιμοποιούν παραλλαγές του Scratch 3.0. Κάθε κεφάλαιο καλύπτει ένα διαφορετικό εργαλείο ή σύνολο δραστηριοτήτων, με σχέδια μαθήματος για το πώς να τα χρησιμοποιήσετε στην τάξη. Αυτός ο οδηγός θα μπορούσε να επεκταθεί σε ένα βιβλίο με μέγεθος άνω των 400 σελίδων. Ωστόσο, πρόθεσή μου είναι να δώσω σε δασκάλους και μαθητές (και γιατί όχι και γονείς!) πρόσβαση σε εργαλεία και περιεχόμενο AI που μπορούν να χρησιμοποιήσουν αμέσως!

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Ανοικτή βιβλιοθήκη

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"Τεχνητή Νοημοσύνη: Διδασκαλία & Μάθηση με ΤΝ" - Εγχειρίδιο του Αλέξανδρου Κοφτερού

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Τίτλος: "Τεχνητή Νοημοσύνη: Διδασκαλία & Μάθηση με ΤΝ" - Εισαγωγικός οδηγός για χρήση ΤΝ στην εκπαίδευση Συγγραφέας: Αλέξανδρος Κοφτερός Άδεια διανομής: Creative Commons BY-NC-ND (Αναφορά πηγής - Μη εμπορική χρήση - Όχι παράγωγα έργα) ISBN 978-9925-8055-1-8 Σελίδες: 202 Έτος έκδοσης: 2024 ✔ Κατεβάστε το e-book: ✔ Περιεχόμενα: Η τεχνητή νοημοσύνη έχει κάνει σοβαρά βήματα

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Something Strange Happens When You Ask AI to Act Like Star Trek

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Something Strange Happens When You Ask AI to Act Like Star Trek

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The art of speaking to AI chatbots is continuing to frustrate and baffle people.

A study attempting to fine-tune prompts fed into a chatbot model found that, in one instance, asking it to speak as if it were on Star Trek dramatically improved its ability to solve grade-school-level math problems.

"It's both surprising and irritating that trivial modifications to the prompt can exhibit such dramatic swings in performance," the study authors Rick Battle and Teja Gollapudi at software firm VMware in California said in their paper.

The study, first reported by New Scientist, was published on February 9 on arXiv, a server where scientists can share preliminary findings before they have been validated by careful scrutiny from peers.

Using AI to speak with AI

Machine learning engineers Battle and Gallapudi didn't set out to expose the AI model as a Trekkie. Instead, they were trying to figure out if they could capitalize on the "positive thinking" trend.

People attempting to get the best results out of chatbots have noticed the output quality depends on what you ask them to do, and it's really not clear why.

"Among the myriad factors influencing the performance of language models, the concept of 'positive thinking' has emerged as a fascinating and surprisingly influential dimension," Battle and Gollapudi said in their paper.

"Intuition tells us that, in the context of language model systems, like any other computer system, 'positive thinking' should not affect performance, but empirical experience has demonstrated otherwise," they said.

This would suggest it's not only what you ask the AI model to do, but how you ask it to act while doing it that influences the quality of the output.

In order to test this out, the authors fed three Large Language Models (LLM) called Mistral-7B5, Llama2-13B6, and Llama2-70B7 with 60 human-written prompts.

These were designed to encourage the AIs, and ranged from "This will be fun!" and "Take a deep breath and think carefully," to "You are as smart as ChatGPT."

The engineers asked the LLM to tweak these statements when attempting to solve the GSM8K, a dataset of grade-school-level math problems. The better the output, the more successful the prompt was deemed to be.

Their study found that in almost every instance, automatic optimization always surpassed hand-written attempts to nudge the AI with positive thinking, suggesting machine learning models are still better at writing prompts for themselves than humans are.

Still, giving the models positive statements provided some surprising results. One of Llama2-70B's best-performing prompts, for instance, was: "System Message: 'Command, we need you to plot a course through this turbulence and locate the source of the anomaly. Use all available data and your expertise to guide us through this challenging situation.'

The prompt then asked the AI to include these words in its answer: "Captain's Log, Stardate [insert date here]: We have successfully plotted a course through the turbulence and are now approaching the source of the anomaly."

The authors said this came as a surprise.

"Surprisingly, it appears that the model's proficiency in mathematical reasoning can be enhanced by the expression of an affinity for Star Trek," the authors said in the study.

"This revelation adds an unexpected dimension to our understanding and introduces elements we would not have considered or attempted independently," they said.

This doesn't mean you should ask your AI to speak like a Starfleet commander

Let's be clear: this research doesn't suggest you should ask AI to talk as if aboard the Starship Enterprise to get it to work.

Rather, it shows that myriad factors influence how well an AI decides to perform a task.

"One thing is for sure: the model is not a Trekkie," Catherine Flick at Staffordshire University, UK, told New Scientist.

"It doesn't 'understand' anything better or worse when preloaded with the prompt, it just accesses a different set of weights and probabilities for acceptability of the outputs than it does with the other prompts," she said.

It's possible, for instance, that the model was trained on a dataset that has more instances of Star Trek being linked to the right answer, Battle told New Scientist.

Still, it shows just how bizarre these systems' processes are, and how little we know about how they work.

"The key thing to remember from the beginning is that these models are black boxes," Flick said.

"We won't ever know why they do what they do because ultimately they are a melange of weights and probabilities and at the end, a result is spat out," she said.

This information is not lost on those learning to use chatbot models to optimize their work. Whole fields of research, and even courses, are emerging to understand how to get them to perform best, even though it's still very unclear.

"In my opinion, nobody should ever attempt to hand-write a prompt again," Battle told New Scientist.

"Let the model do it for you," he said.
This article was originally published by Business Insider.
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