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Finding Nemotron

2025/7/2

Practical AI: Machine Learning, Data Science, LLM

AI Deep Dive AI Chapters Transcript

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Joey Conway

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Joey Conway: 我个人对机器学习和人工智能感到兴奋，并且认为NVIDIA在这个领域处于非常有利的位置。我在NVIDIA专注于非视觉工作负载，例如自然语言处理，并且见证了过去五年中语言模型的巨大进步。我的软件开发背景、对新技术的熟悉以及对新机会的兴奋，使我能够在NVIDIA很好地发展。我对我们目前所处的这个伟大的转折点感到非常兴奋，并且有很多有趣的事情可以讨论。

Deep Dive

Chapters

This chapter explores the landscape of open foundation models, NVIDIA's contributions to the field, and the significance of reasoning capabilities in AI. It highlights the benefits of open-source models for enterprises and the community.

NVIDIA's long-standing commitment to publishing open-source models and data sets.
The importance of reasoning in handling complex queries and achieving higher accuracy in AI applications.
The role of open-source contributions in accelerating AI technology development.

Shownotes Transcript

In this episode, we sit down with Joey Conway to explore NVIDIA's open source AI, from the reasoning-focused Nemotron models built on top of Llama, to the blazing-fast Parakeet speech model. We chat about what makes open foundation models so valuable, how enterprises can think about deploying multi-model strategies, and why reasoning is becoming the key differentiator in real-world AI applications.

Featuring:

Joey Conway – LinkedIn)
Chris Benson – Website), LinkedIn), Bluesky), GitHub), X)

Links:

Llama Nemotron Ultra)
NVIDIA Llama Nemotron Ultra Open Model Delivers Groundbreaking Reasoning Accuracy)
Independent analysis of AI)
Parakeet Model)
Parakeet Leaderboard)
Try the Llama-3.1-Nemotron-Ultra-253B-v1 model here) and here)

Finding Nemotron 46:23 Share

Practical AI: Machine Learning, Data Science, LLM

Deep Dive

Shownotes Transcript

Finding Nemotron