NVIDIA engineer Chris Alexiuk teaches developers to build with open models
Overview
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
- Nov 12, 10:20 AM ET · 1 articleSebastian Raschka says Nemotron's open data and training recipes are hard to replaceSebastian Raschka: Sebastian Raschka says Nemotron's open data and training recipes are hard to replace
- Nov 5, 11:00 AM ET · 1 articleNVIDIA engineer Chris Alexiuk teaches developers to build with open modelsNVIDIA Blog: NVIDIA engineer Chris Alexiuk teaches developers to build with open models
Article timeline
The articles in this story. Times are ET.
Sebastian Raschka@rasbtXSebastian Raschka says Nemotron's open data and training recipes are hard to replaceAISebastian 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.
- NVIDIA BlogOfficialNVIDIA 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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