Announcing our new Paper: The Prompt Report, with Co-authors from OpenAI & Microsoft!

Check it out →
me
≡
Sitting astronautLearn Prompting
Bienvenue
😃 Bases
🟢 Introduction
🟢 Prompting
🟢 Donner des instructions
🟢 Prompting de rôle
🟢 Few Shot Prompting
🟢 Combinaison de techniques
🟢 Formalisation des Prompts
🟢 Prompt Engineering
🟢 Un prompt 'standard'
🟢 Plus sur le prompt
🟢 Learn Prompting Embeds
🟢 _Les bases du chatbot
🟢 Pièges des LLM
🟢 Priming Chatbots
🟢 OpenAI Playground (cour de récréation)
🟢 Paramètres LLM
🟢 _Comprendre la pensée IA
🟢 Learn Prompting Method
🟢 Commencer votre parcours
💼 Applications de base
🟢 _Introduction
🟢 Structuration de Données
🟢 _Écrire un e-mail
🟢 Blogs
🟢 Ami de révisions
🟦 Assistance en programmation
🟦 Digital Marketing
🟢 Trouver des emojis
🟢 Contracts
🟢 Different Writing Styles
🟢 Summarizing Text
🟢 Zapier for Emails
🧙‍♂️ Intermédiaire
🟢 Chain of Thought Prompting
🟢 Zero Shot Chain of Thought
🟦 Self-Consistency
🟦 Generated Knowledge
🟦 Least to Most Prompting
🟦 Dealing With Long Form Content
🟦 Revisiting Roles
🟢 What's in a Prompt?
🧪 Prompting appliqué
🟢 Introduction
🟢 Multiple Choice Questions
🟢 Solve Discussion Questions
🟢 Build ChatGPT from GPT-3
🟢 Chatbot + Knowledge Base
🚀 Applications avancées
🟢 Introduction
🟦 LLMs Using Tools
🟦 LLMs that Reason and Act
🟦 Code as Reasoning
🤖 Agents
🟢 Introduction
⚖️ Fiabilité
🟢 Introduction
🟢 Prompt Debiasing
🟦 Prompt Ensembling
🟦 LLM Self Evaluation
Calibrating LLMs
🟦 Math
🖼️ Prompting d'images
🟢 Introduction
🟢 Style Modifiers
🟢 Quality Boosters
🟢 Repetition
🟢 Weighted Terms
🟢 Fix Deformed Generations
🟢 Shot type
🟢 Midjourney
🟢 Resources
🔓 Hacking de prompts
🟢 Introduction
🟢 Prompt Injection
🟢 Prompt Leaking
🟢 Jailbreaking
🟢 Mesures défensives
🟢 Aperçu
🟢 Filtering
🟢 Instruction Defense
🟢 Post-Prompting
🟢 Random Sequence Enclosure
🟢 Sandwich Defense
🟢 XML Tagging
🟢 Separate LLM Evaluation
🟢 Other Approaches
🟢 Offensive Measures
🟢 Introduction
🟢 Obfuscation/Token Smuggling
🟢 Payload Splitting
🟢 Defined Dictionary Attack
🟢 Virtualization
🟢 Indirect Injection
🟢 Recursive Injection
🟢 Code Injection
🔨 Outillage
Prompt Engineering Tools
Prompt Engineering IDEs
🟢 Introduction
GPT-3 Playground
Dust
Soaked
Everyprompt
Prompt IDE
PromptTools
PromptSource
PromptChainer
Prompts.ai
Snorkel 🚧
Human Loop
Spellbook 🚧
Kolla Prompt 🚧
Lang Chain
OpenPrompt
OpenAI DALLE IDE
Dream Studio
Patience
Promptmetheus
PromptSandbox.io
The Forge AI
AnySolve
Conclusion
💪 Calibrage de prompts
Soft Prompts
Interpretable Soft Prompts
🎲 Divers
🟢 Détection de texte généré par l'IA
🟢 Détection de tricherie
🟢 Génération musicale
📙 Référence de vocabulaire
📚 Bibliographie
📦 Prompted Products
🛸 Ressources supplémentaires
✨ Générique
🔥 Sujets Brûlants
🔨 OutillagePrompt Engineering IDEsSoaked

Soaked

Last updated on August 7, 2024 by Sander Schulhoff

Soaked is a prompt engineering IDE that focuses on visual prompt chaining with a graphical interface. It is currently in beta, but active development has ceased.

Features

Soaked provides a graphical interface for chaining prompts together, where you can easily see how different components flow together. It also provides a lower level prompt view with the option to generate multiple completions at once. It also provides a cost estimate for completions. It currently supports GPT3 and requires an OpenAI key to use.

Edit this page
Word count: 0

Get AI Certified by Learn Prompting


Previous

Dust

Everyprompt

Next

Copyright © 2024 Learn Prompting.