Explore notebooks and projects showcasing how to run generative AI models on Fireworks, demonstrating both third-party integrations and innovative applications with industry-leading speed and flexibility.
Dive into examples that utilize Fireworks for deploying and fine-tuning large language models (LLMs), featuring integrations with popular libraries and cutting-edge use cases.Notebooks
Build complete conversational AI systems with Fireworks’ end-to-end voice solution, combining speech-to-text, language models, and text-to-speech in a unified pipeline.Key Differentiators:
Single API call for complete speech-to-speech interaction
Low latency for real-time interaction
Built-in context management and conversation state
Experiment with image-based projects using Fireworks’ models, enhanced with third-party libraries for innovative applications in image creation, manipulation, and recognition.
Learn from complex multimodal examples that blend text, audio, and image inputs, demonstrating the full potential of Fireworks combined with external tools for interactive AI experiences.
Access notebooks that demonstrate efficient model fine-tuning on Fireworks, utilizing both internal capabilities and third-party tools like Axolotl for custom optimization.
Explore notebooks showcasing the integration and utilization of multiple LoRA adapters in Fireworks. These resources demonstrate advanced techniques for merging, fine-tuning, and deploying multi-LoRA configurations to optimize model performance across diverse tasks.Notebooks
Explore examples of function-calling workflows using Fireworks, showcasing how to integrate with external APIs and tools for sophisticated, multi-step AI operations.Notebooks
Build retrieval-augmented generation (RAG) systems with Fireworks, featuring projects that connect with vector databases and search tools for enhanced, context-aware AI responses.Notebooks