Foundation models come with broad language and reasoning capabilities across use cases and modalities based on the training datasets used. Models understand language and can follow instructions, but specialized workflows often require context that is restricted, specialized, or proprietary. Customizing an agent solves this challenge by shaping how the agent reasons under constraints, which tools it selects, how it structures its outputs, and how reliably it executes domain workflows.
Mastering Agentic Techniques: AI Agent Customization | NVIDIA Technical BlogIn practice, the most effective agent customization combines multiple techniques in sequence. The stages of a representative pipeline are outlined below. Start with system prompts, tool and skill definitions, and retrieval to establish baseline behavior.
Mastering Agentic Techniques: AI Agent Customization | NVIDIA Technical Blog…Get started DSX Air provides a secure, on-demand environment for technical training and upskilling. The platform includes guided demos for skill-building with NVIDIA offerings like Cumulus Linux, NVIDIA Run:ai…
Agentic AI / Generative AI Designing Protein Binders Using the Generative Model Proteina-Complexa Mar 25, 2026 By Kyle Gion , Kyle Tretina , Danny Reidenbach , Kieran Didi , Christian Dallago and Karsten Kreis Discuss (0…
…View all posts by Kyle Aubrey View all posts by Kyle Aubrey About Farshad Ghodsian Farshad Ghodsian is a senior technical marketing engineer at NVIDIA, where he focuses on AI training and…
…This enables access to NVIDIA software, models, containers, and more (optional) LangSmith API Key : This connects the workshop to LangChain’s platform for tracing and debugging your AI Agent You can utilize…
…TensorRT LLM runtime (closely matching STAC-AI’s batch mode). While some options are available in the CLI API, the full LLM API can be accessed through a YAML file passed with…
…Accessible chemical and materials Informatics tooling and pre-trained foundation models for mapping materials representations to properties for fast screening. Simulation tools for generating synthetic datasets to train and fine-tune AI…
…a generative AI solutions architect at NVIDIA, specializing in the design and deployment of large-scale machine learning systems. With deep expertise in optimizing model performance for both training and inference workloads…
…In practice, developers can see 1.5x performance improvements compared to DirectML-based approaches, making it easier to integrate responsive AI-driven features into games and interactive experiences. Access the plugin today…
…More information about Sarvam AI’s models can be found here . To begin exploring your own sovereign AI model strategy, check out the NVIDIA Nemotron framework and libraries for training, fine-tuning…
…Nsight Tools Tutorial Center Access the latest resources to get started with Nsight Systems. Access Self-Paced Training Nsight Systems Documentation Get hands on training for Nsight Systems with self-paced online…