Chris Alexiuk

Chris Alexiuk is a deep learning developer advocate at NVIDIA, working on creating technical assets that help developers use the incredible suite of AI tools available at NVIDIA. Chris comes from a machine learning and data science background, and he is obsessed with everything and anything about large language models.
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Posts by Chris Alexiuk

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Generative AI

Build More Accurate and Efficient AI Agents with the New NVIDIA Llama Nemotron Super v1.5

AI agents now solve multi-step problems, write production-level code, and act as general assistants across multiple domains. But to reach their full potential,... 5 MIN READ
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Generative AI

An Easy Introduction to LLM Reasoning, AI Agents, and Test Time Scaling

Agents have been the primary drivers of applying large language models (LLMs) to solve complex problems. Since AutoGPT in 2023, various techniques have been... 10 MIN READ
Generative AI

NVIDIA Llama Nemotron Ultra Open Model Delivers Groundbreaking Reasoning Accuracy

AI is no longer just about generating text or images—it’s about deep reasoning, detailed problem-solving, and powerful adaptability for real-world... 8 MIN READ
Generative AI

Build Enterprise AI Agents with Advanced Open NVIDIA Llama Nemotron Reasoning Models

This updated post was originally published on March 18, 2025. Organizations are embracing AI agents to enhance productivity and streamline operations. To... 12 MIN READ
Generative AI

Build an AI Agent with Expert Reasoning Capabilities Using the DeepSeek-R1 NIM

AI agents are transforming business operations by automating processes, optimizing decision-making, and streamlining actions. Their effectiveness hinges on... 9 MIN READ
Generative AI

Mastering LLM Techniques: Evaluation

Evaluating large language models (LLMs) and retrieval-augmented generation (RAG) systems is a complex and nuanced process, reflecting the sophisticated and... 12 MIN READ