… Ask LLMs to read forums and publicly shared code on the topic. Have LLMs perform EDA to determine relationships between features and targets for feature engineering. Ask LLMs for ideas based on the current knowledge base. Have humans brainstorm with LLMs and create ideas together. …
… View all posts by Maximilien Breughe View all posts by Maximilien Breughe About Michael Ferry Michael Ferry is a software engineering manager on the NVIDIA TensorRT team, where he leads the TensorRT Edge-LLM, Automotive Safety, and New Platforms teams. …
… 9 MIN READ Jan 08, 2026 Accelerating LLM and VLM Inference for Automotive and Robotics with NVIDIA TensorRT Edge-LLM Large language models LLMs and multimodal reasoning systems are rapidly expanding beyond the data center. …
… Discuss 0 Discuss 0 Tags Developer Tools & Techniques | General | NeMo | TensorRT | Beginner Technical | Intermediate Technical | Tutorial | featured | LLM Techniques | LLMs | Model Optimizer About the Authors About Max Xu Max Xu is a senior technical lead at NVIDIA specializing in AI training and … …
… This example shows the ChatNVIDIA LangChain connector using NVIDIA NIM. from langchain nvidia ai endpoints import ChatNVIDIA LLM MODEL = "nvidia/nvidia-nemotron-nano-9b-v2" llm = ChatNVIDIA model=LLM MODEL, temperature=0.6, top p=0.95, max tokens=8192 To ensure the quality of the LLM-based applicat… …
… Get started with emerging optimizers for LLM training Higher-order optimizers like Muon are proving essential for pushing the boundaries of LLM training efficiency. …
… The new role of LLMs in a heterogeneous AI architecture This doesn’t mean LLMs are obsolete. …