Using the toolkit for this specific use case provides multiple benefits: Config-driven workflows The toolkit helps shift the project from a rigid script to a flexible research platform. Instead of hard-coding the interactions between agents, you define the system’s logic—including personas, tools, and constraints—entirely within a YAML configuration. This modularity makes it trivial to swap models for different tasks. For example, you can assign a high-reasoning model to handle hypothesis generation while using a faster, more cost-effective model for the code agent without modifying the underl
Automating and Optimizing Financial Signal Discovery with Multi-Agent Systems | NVIDIA Technical Blog…Score reasoning quality and efficiency A correct answer with broken reasoning or excessive steps is costly in compute resources. The following techniques can help reasoning and efficiency together: Capture reasoning traces (plans…
Developer Tools & Techniques Build Next-Gen Physical AI with Edge‑First LLMs for Autonomous Vehicles and Robotics NVIDIA TensorRT Edge‑LLM introduces support for MoEs, Cosmos Reason 2, and Qwen3-TTS/ASR…
…NVIDIA Vera CPU Delivers High Performance, Bandwidth, and Efficiency for AI Factories Research Paper: Think Fast: A Tensor Streaming Processor (TSP) for Accelerating Deep Learning Workloads Research Paper: A Software-defined Tensor…
…Fine-tuning and quantization recipes Explore NVIDIA Ising customization cookbooks to quantize or fine-tune for a specific domain (LoRA/SFT) or advance its agentic reasoning capabilities (GRPO/DAPO): Quantization to FP8…
…View all posts by Shuang Yu View all posts by Shuang Yu About Zhaopeng Qiu Zhaopeng Qiu is a solutions architect at NVIDIA, specializing in natural language processing research. His research interests…
…Kimi K2.5 is a general-purpose multimodal model that excels in current high-demand tasks such as agentic AI workflows, chat, reasoning, coding, mathematics, and more. The model was trained using…
…RaySim delivers precise, 6G-ready ray-tracing channel models at speed and scale, enabling researchers to explore new waveforms, test mobility scenarios, and evaluate complex propagation environments in photorealistic digital worlds. Building…
…GTC Event: Join us at NVIDIA GTC Taipei in June where developers, researchers, and industry leaders come together to explore the future of AI, from agentic and reasoning AI to physical AI…
…Rather than relying on command matching, these models support conversational AI with memory and reasoning, multimodal interaction across voice, vision, and telemetry, and context-aware, proactive assistance that anticipates user needs instead…
…Reasoning When you turn on reasoning in the RAG blueprint, you enable the LLM to interpret the retrieved evidence, and synthesize logically grounded answers. This is the easiest change to get an…
