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NVIDIA engineer Chris Alexiuk teaches developers to build with open models

2 articles2 sourcessince Nov 5Last article 2h ago ·

Overview

AISummary of 2 articles

Sebastian Raschka says he hopes NVIDIA's Nemotron line of models continues, arguing that its open data and full training recipes would be much harder to replace than its open-weight models.

He notes that other open-weight LLMs exist as alternatives. The available reports do not describe Chris Alexiuk's teaching work or any change to Nemotron's release plans.

Written by AI from the articles below · updated Nov 12, 10:38 AM ET

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Developments

2 developments

  1. Nov 12, 10:20 AM ET · 1 article
    Sebastian Raschka says Nemotron's open data and training recipes are hard to replace
    Sebastian Raschka: Sebastian Raschka says Nemotron's open data and training recipes are hard to replace
  2. Nov 5, 11:00 AM ET · 1 article
    NVIDIA engineer Chris Alexiuk teaches developers to build with open models
    NVIDIA Blog: NVIDIA engineer Chris Alexiuk teaches developers to build with open models

Article timeline

The articles in this story. Times are ET.

Nov 12
  1. Sebastian RaschkaX
    Sebastian Raschka says Nemotron's open data and training recipes are hard to replace

    AISebastian Raschka says he hopes Nemotron continues, noting that other open-weight LLMs exist as alternatives. He argues Nemotron's open data and full training recipes would be much harder to replace.

Nov 5
  1. NVIDIA BlogOfficial
    NVIDIA engineer Chris Alexiuk teaches developers to build with open models

    AIChris Alexiuk, a senior product research engineer in deep learning at NVIDIA, teaches developers on YouTube how to build, fine-tune, evaluate and ship production LLM applications and agents. He says open models should include the weights, training data and training recipes, and he calls NVIDIA Nemotron the most important open project. Alexiuk says Nemotron has models for both individual developers and enterprises running long-running autonomous agents.

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