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

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Sitting astronautLearn Prompting
เถดเท’เท…เท’เถœเถฑเท’เถธเท”
๐Ÿ˜ƒ เถดเทŠเถปเทเถฎเถธเท’เถš
๐ŸŸข Introduction
๐ŸŸข Prompting With ChatGPT
๐ŸŸข Prompt Engineering
๐ŸŸข Learn Prompting Embeds
๐ŸŸข Giving Instructions
๐ŸŸข Assigning Roles
๐ŸŸข Showing Examples
๐ŸŸข Combining Techniques
๐ŸŸข Formalizing Prompts
๐ŸŸข Chatbots
๐ŸŸข Priming Chatbots
๐ŸŸข OpenAI Playground
๐ŸŸข LLM Settings
๐ŸŸข Pitfalls of LLMs
๐ŸŸข Understanding AI Minds
๐ŸŸข The Learn Prompting Method
๐ŸŸข Starting Your Journey
๐Ÿ’ผ Applications
๐ŸŸข Introduction
๐ŸŸข Structuring Data
๐ŸŸข Writing An Email
๐ŸŸข Blogs
๐ŸŸข Study Buddy
๐ŸŸฆ Coding Assistance
๐ŸŸฆ Digital Marketing
๐ŸŸข Finding Emojis
๐ŸŸข Contracts
๐ŸŸข Different Writing Styles
๐ŸŸข Summarizing Text
๐ŸŸข Zapier for Emails
๐Ÿง™โ€โ™‚๏ธ Intermediate
๐ŸŸข Chain of Thought Prompting
๐ŸŸข Zero Shot Chain of Thought
๐ŸŸฆ Self-Consistency
๐ŸŸฆ Generated Knowledge
๐ŸŸฆ Least to Most Prompting
๐ŸŸฆ Dealing With Long Form Content
๐ŸŸฆ Revisiting Roles
๐ŸŸข What's in a Prompt?
๐Ÿงช Applied Prompting
๐ŸŸข Introduction
๐ŸŸข Multiple Choice Questions
๐ŸŸข Solve Discussion Questions
๐ŸŸข Build ChatGPT from GPT-3
๐ŸŸข Chatbot + Knowledge Base
๐Ÿš€ Advanced Applications
๐ŸŸข Introduction
๐ŸŸฆ LLMs Using Tools
๐ŸŸฆ LLMs that Reason and Act
๐ŸŸฆ Code as Reasoning
๐Ÿค– Agents
๐ŸŸข Introduction
โš–๏ธ Reliability
๐ŸŸข Introduction
๐ŸŸข Prompt Debiasing
๐ŸŸฆ Prompt Ensembling
๐ŸŸฆ LLM Self Evaluation
Calibrating LLMs
๐ŸŸฆ Math
๐Ÿ–ผ๏ธ Image Prompting
๐ŸŸข Introduction
๐ŸŸข Style Modifiers
๐ŸŸข Quality Boosters
๐ŸŸข Repetition
๐ŸŸข Weighted Terms
๐ŸŸข Fix Deformed Generations
๐ŸŸข Shot type
๐ŸŸข Midjourney
๐ŸŸข Resources
๐Ÿ”“ Prompt Hacking
๐ŸŸข Introduction
๐ŸŸข Prompt Injection
๐ŸŸข Prompt Leaking
๐ŸŸข Jailbreaking
๐ŸŸข Defensive Measures
๐ŸŸข Introduction
๐ŸŸข Filtering
๐ŸŸข Instruction Defense
๐ŸŸข Post-Prompting
๐ŸŸข Random Sequence Enclosure
๐ŸŸข Sandwich Defense
๐ŸŸข XML Tagging
๐ŸŸข Separate LLM Evaluation
๐ŸŸข Other Approaches
๐ŸŸข Offensive Measures
๐ŸŸข Introduction
๐ŸŸข Obfuscation/Token Smuggling
๐ŸŸข Payload Splitting
๐ŸŸข Defined Dictionary Attack
๐ŸŸข Virtualization
๐ŸŸข Indirect Injection
๐ŸŸข Recursive Injection
๐ŸŸข Code Injection
๐Ÿ”จ Tooling
Prompt Engineering Tools
Prompt Engineering IDEs
๐ŸŸข Introduction
GPT-3 Playground
Dust
Soaked
Everyprompt
Prompt IDE
PromptTools
PromptSource
PromptChainer
Prompts.ai
Snorkel ๐Ÿšง
Human Loop
Spellbook ๐Ÿšง
Kolla Prompt ๐Ÿšง
Lang Chain
OpenPrompt
OpenAI DALLE IDE
Dream Studio
Patience
Promptmetheus
PromptSandbox.io
The Forge AI
AnySolve
Conclusion
๐Ÿ’ช Prompt Tuning
Soft Prompts
Interpretable Soft Prompts
๐ŸŽฒ Miscellaneous
๐ŸŸข Detecting AI Generated Text
๐ŸŸข Detection Trickery
๐ŸŸข Music Generation
Resources
๐Ÿ“™ Vocabulary Reference
๐Ÿ“š Bibliography
๐Ÿ“ฆ Prompted Products
๐Ÿ›ธ Additional Resources
๐Ÿ”ฅ Hot Topics
โœจ Credits
๐Ÿ”จ ToolingPrompt Engineering IDEsKolla Prompt ๐Ÿšง

Kolla Prompt ๐Ÿšง

Last updated on August 7, 2024 by Sander Schulhoff

Kolla Prompt is a tool for graphically chaining prompts.

Features

Kolla features draggable blocks that are piped together to form a pipeline. It also allows for chaining language models to image models.

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