Promptotype
p/promptotype
Develop, test, and monitor your LLM structured tasks
Ram
Promptotype — Develop, test, and monitor your LLM structured tasks
4
Strengthen confidence in your templated prompts 1️⃣ Design prompt templates in an extended playground 2️⃣ Define test-queries with expected result json schema or value 3️⃣ Test prompts on entire query collections at once 4️⃣ Schedule automated test runs ➕ more
Replies
Ali BaderEddin
I like your product. Have you considered open sourcing?
Ram
Maker
Hi PH 👋! Ram here, the creator of Promptotype- a development and testing platform for LLM tasks. Promptotype is not very new, but it’s the first time it’s launched it here. I started building it while working on another product that used LLM tasks, and realized there are many challenges around this use-case- challenges that are quite easy to solve with the right platform. I also developed a belief in the strength of the LLM tasks use-case. What are LLM structured tasks? On a very high level, they’re tasks done by an LLM that can be integrated into our program’s flow- basically a function that’s written in (a somewhat) natural language instead of code. Classic examples can be Entity Extraction, or Sentiment Analysis. The tasks are typically deterministic- having one correct output for every input. They’re also potentially complex enough to return multiple values, therefore requiring a structured output (as a JSON for example), so our program will be able to work with it. These qualities require specific prompt-engineering techniques, but also enable easier testing. Promptotype provides you with a playground for the development, testing, automation, and fine-tuning for the specific use-case of LLM structured tasks. Features: 🎨 Design your prompt templates in an extended playground. 📋 Define test-queries with expected result json schemas or values. It's automatic! Run your query through the model to auto-fill the expected result. ▶️ Test prompt templates on entire query collections at once. Create basic collections for development, extended ones to verify production readiness, and monitor reliability with scheduled automated runs. 📚 Manage your prompts and models 🗄️ Follow up with the entire history of your runs and tests. ⏰ Schedule periodic automated tests. Get result summary by email immediately. 🧮 Everything works with function calling too! 🔧 UI for fine-tuning. Automatically create a fine-tuned model from your query collections. You’re all welcome to try it out! And if you haven’t thought about integrating LLM tasks to your system, I really recommend checking it out- super powerful use-case imho. Thanks, Ram
Naz Avo
Does it have a way to fine-tune prompts for image-generation models like SD or FLUX? Or is Promptotype mostly helpful with text-to-text prompts?
Ram
Maker
@nazavo it is only helpful for text-to-text prompts atm, but possibly we'll look into that usecase!