Fine-Tuning & Training
Knowledge Distillation
Transfer large model capabilities to efficient models using a two-stage SFT + RFT approach.Techniques: Supervised Fine-Tuning (SFT) + Reinforcement Fine-Tuning (RFT)Results: 52% → 70% accuracy on GSM8K mathematical reasoning
VLM Fine-tuning + Evals
Beat frontier closed-source models for product catalog cleansing with vision-language model fine-tuning.Techniques: Supervised Fine-Tuning (SFT)Results: 48% increase in quality from base model
Multimodal AI
NVIDIA Nemotron VL for Document Intelligence
Extract structured data from invoices, forms, and financial documents using state-of-the-art OCR and document understanding.Use Cases: Forms, invoices, financial documents, product catalogsResults: 90.8% accuracy on invoice extraction (100% on invoice numbers and dates)
Audio Streaming Speech-to-Text
Real-time audio transcription with streaming support and low latency.Features: Streaming support, low-latency transcription, production-ready
Chat with Video using Qwen3 Omni
Analyze video and audio content with Qwen3 Omni, a multimodal model supporting video, audio, and text inputs.Features: Video captioning, scene analysis, content understanding, multimodal Q&A
API Features
Fireworks MCP Examples
Leverage Model Context Protocol (MCP) for GitHub repository analysis, code search, and documentation Q&A.Features: Repository analysis, code search, documentation Q&A, GitMCP integrationModels: Qwen 3 235B with external tool support