npm like package ecosystem for Prompts
Cloud-based Prompt IDE for managing the lifecycle of Prompts, deploying Prompts as Packages, and creating instant Apps powered by self-trained Micro LLMs
Promptathon 1.0 Get Started Github
Build 20X faster with Key components of Sugarcane AI
Sugar Factory 🏭
No-code Cloud based IDE for Prompt Developers for faster & efficient prompt engineering
- Build and ship your prompts over APIs
- Label and manage prompt completion datasets
- Version and backtest prompts for better performance
Sugar Hub 🛒
Managed Marketplace for sharing and monetising high quality GenAI assets with the ecosystem
- Publish, share and monetise your prompt packages
- Discover and use managed prompts in Sugar Bakery
- Leverage Open datasets and Finetuned Micro LLMs
What are Prompt Packages ?
A prompt package is a collection of prompt templates, dataset, and LLM configuration that can be distributed as a unit of reusable prompt or functionality in the LLM ecosystem. A prompt template is tied to a specific LLM config for high accuracy
- Enables reusability and sharing
- No need to develop prompts from scratch
- Together with a Micro LLM, it can deliver exceptionally high performance.
What are Micro LLMs ?
Micro LLMs are smaller fine tuned model build on top of 3b/7b parameters and trained for task specific prompts, which can be used to automate workflows/plugins to ensure their reliability and accuracy
- Very High Accuracy for Task Specific Prompts
- Low Cost for Pre finetune Prompts
- Ulta Low Latency for response generation
What are Sugar Cubes ?
Sugar Cubes aka Prompt Applications are the quickest and easiest way to create and collaborate over a LLM based application. A cube can be created by just writing a Prompt without any hassle of LLM integration or code deployments
- Create and share usable Prompts in just few clicks
- Collect Feedaback & training data from actual users
- Single Click Deploy and Use as an API over any Platform
Migrate from Monolith to Micro Services Architecture
Break down your monolithic LLM app using a Microservices approach into Prompt Packages and Micro LLMs to achieve a clear separation of concerns among app developers, prompt developers, and data scientists.
- Faster Knowledge upgradation
- Transparent LLM upgradation for app developers
- Reusability and collaboration across developer community
- Decentralised Control
- Better AI safety
Ready to experiment with Prompts using Sugarcane AI's Cloud Based IDE?
Experience the future of AI with Prompt Packages and Micro LLMs. Build, train and sell Prompt Packages with ease and flexibility.
Get Started