Training
VLM Training + Evals
Beat frontier closed-source models for product catalog cleansing with vision-language model training.Techniques: Supervised Fine-Tuning (SFT)Results: 48% increase in quality from base model
Embeddings & RAG
Two-Stage Retrieval with Voyage Embeddings and Reranking
Build a retrieval pipeline that recalls candidates with vector search, then reorders them with a reranker for precision.Techniques: Voyage embeddings, MongoDB
$vectorSearch, Voyage ReRank 2.5Models: Voyage AI embedders and rerankers on dedicated deploymentsCoding agents
Advisor: a second-opinion code reviewer
Add a critique-only frontier reviewer to a coding agent running on Fireworks.