The showcase section highlights user-contributed examples that demonstrate creative and innovative uses of Fireworks AI.
Each project showcases the versatility of Fireworks in combination with different tools, libraries, and workflows.
While some projects are directly contained within this repository, not all customer or user projects are hosted here.
In such cases, we'll provide links to either the customer story on the Fireworks website or to the user's external repository. Browse through the sections below to find inspiration for your next project!
Real-world projects and examples of users building with Fireworks are incoming and being migrated. In the meantime, have you been building something cool with Fireworks? Let us know either in Discord or by creating a PR! We're currently on the lookout for ambassadors and startup + OSS partners to sponsor.
Fireworks is used in these projects to power model inference, providing easy-to-integrate APIs for running models at scale and optimizing inference pipelines.
Project | Additional Tools/Libraries Used | Fireworks Features & Products Used | Description | Contributor | Use Case | Additional Links |
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Fireworks is used here to fine-tune models on custom datasets, offering built-in tools for managing data pipelines, model tuning, and evaluation.
Project | Additional Tools/Libraries Used | Fireworks Features & Products Used | Description | Contributor | Use Case | Additional Links |
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Fireworks is employed to manage and deploy function-calling models, handling complex API calls and workflows for scalable and automated processes.
Project | Additional Tools/Libraries Used | Fireworks Features & Products Used | Description | Contributor | Use Case | Additional Links |
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In these projects, Fireworks powers RAG systems by integrating with external databases and providing retrieval mechanisms that augment the generation capabilities.
Project | Additional Tools/Libraries Used | Fireworks Features & Products Used | Description | Contributor | Use Case | Additional Links |
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Fireworks helps build agentic systems that leverage function-calling models and workflows to create autonomous decision-making processes.
Project | Additional Tools/Libraries Used | Fireworks Features & Products Used | Description | Contributor | Use Case | Additional Links |
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Fireworks helps in building compound systems where different models and processes interact in a cohesive workflow, automating large-scale, multi-modal tasks.
Project | Additional Tools/Libraries Used | Fireworks Features & Products Used | Description | Contributor | Use Case | Additional Links |
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If you've built something cool with Fireworks, we'd love to feature your project in our showcase! To submit your project, follow our Contribution Guide. Ensure that each project includes:
- A
README.md
with setup and usage instructions. - A clear description of how Fireworks is used in the project.
- The row summary (or short description of the project) of the project.
Project | Tools/Libraries Used | Description | Contributor | Use Case | Additional Links |
---|---|---|---|---|---|
Project A | Fireworks, Huggingface Transformers | Example showing how to perform inference on a large language model using Fireworks' optimized inference APIs and Huggingface models. | @ContributorA | Inference for NLP tasks using pre-trained models | GitHub Repo |
Project B | Fireworks, TensorFlow | This project demonstrates how to use Fireworks for deploying TensorFlow-based models in production inference workflows. | @ContributorB | Scalable deployment of TensorFlow models | GitHub Repo |
Project E | Fireworks, LangChain | Building an automated function-calling system using Fireworks and LangChain to manage complex, multi-step API workflows. | @ContributorE | Automated function-calling workflows | GitHub Repo |
Project F | Fireworks, OpenAI API | This project demonstrates using Fireworks to manage function-calling models with external APIs like OpenAI. | @ContributorF | API-based function-calling | GitHub Repo |