NVIDIA NCA-GENM case studies
NVIDIA NCA-GENM · Put your knowledge to work in context.
The NVIDIA-Certified Associate Generative AI Multimodal (NCA-GENM) credential is an entry-level certification for people who build and support AI systems that synthesize and interpret text, image, and audio data. NVIDIA describes the target candidate as an associate developer who contributes to dataset development, model selection and training, testing, debugging, and deployment within a team of AI professionals. The exam is online and remotely proctored; the description states 50 questions and a 60-minute limit, while the details table lists 50–60 multiple-choice, so plan for slight variation. It costs $125, is delivered in English, and is valid for two years from issuance. The NVIDIA NCA-GENM case studies are 5 cases and about 3,233 words.
1LoRA Fine-Tune for Schema-Constrained Function Calling
A team is adapting a 13B decoder-only model to emit strict JSON for a payment API. The corpus has 38,000 human-labeled dialogues, split 80/10/10 by conversation ID.
748 words, about 4 min2Reranker Rollout with Stratified Evaluation
A retrieval-augmented search platform is evaluating reranker v2 before rollout. The offline test set has 2,100 queries stratified by document type: contracts n=400, invoices n=350, support tickets n=600, emails n=450, and technical specs n=300.
654 words, about 3 min3Vision-Language Model for Chart Question Answering
A 7B vision-language model is fine-tuned for question answering over scanned financial reports. The training set contains 120,000 image-question-answer triples from 8,000 PDFs.
621 words, about 3 min4TensorRT-LLM Serving for Long-Prompt RAG
A team serves a 70B parameter model on 8×H100 80GB GPUs using TensorRT-LLM, tensor parallelism 8, and FP8 weights. The workload is RAG: 1,800 input tokens, including a shared 1,200-token system and instruction prefix, and 400 output tokens, at concurrency 32.
617 words, about 3 min5Trustworthy Release of a Multimodal Support Assistant
A bank plans to launch a multimodal customer-support assistant that accepts text and uploaded images such as checks and account statements. Before launch, a 1,200-prompt red-team suite finds 42 harmful compliances (3.5%), including disclosing another customer's data from a statement image and giving unsafe investment advice; the internal threshold is 0.8%.
593 words, about 3 min