AI shouldn’t be limited to those with access to expensive hardware. This episode explores how to break down barriers by running massive AI models on "crappy machines"—affordable, low-spec devices. Clever techniques like quantization, pruning, model distillation might not be enough.

With edge offloading, we can make state-of-the-art AI accessible to hobbyists, researchers, and innovators everywhere.

By democratizing AI, we can empower individuals and small teams to experiment, create, and solve problems without needing deep pockets or enterprise-grade resources.

AI for everyone, on everything. Let’s make it happen.

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NEW TO DATA SCIENCE AT HOME?

Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com

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Is DeepSeek the next big thing in AI? Can OpenAI keep up? And how do we truly understand these massive LLMs?

Enter WeightWatcher—the AI detective tool that peeks inside neural networks without needing their data.

In this episode, we chat with its creator, Dr. Charles Martin, to uncover what makes LLMs tick, the hidden patterns inside models like GPT-4 and DeepSeek, and whether AI is headed for a breakthrough—or a bottleneck.

If you’re into cutting-edge AI, you won’t want to miss this one!

✨ Connect with us!

📩 Newsletter: https://datascienceathome.substack.com

🎙 Podcast: Available on Spotify, Apple Podcasts, and more.

🐦 Twitter: @DataScienceAtHome

📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/

Instagram: https://www.instagram.com/datascienceathome/

Facebook: https://www.facebook.com/datascienceAH

LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast

Discord Channel: https://discord.gg/4UNKGf3

NEW TO DATA SCIENCE AT HOME?

Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com

SEND US MAIL!

We love hearing from you! Send us mail at:

hello@datascienceathome.com

Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!

From the viral article "Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything" on my newsletter at https://defragzone.substack.com/p/techs-dumbest-mistake-why-firing

here are my thoughts about AI replacing programmers...

✨ Connect with us!

📩 Newsletter: https://datascienceathome.substack.com

🎙 Podcast: Available on Spotify, Apple Podcasts, and more.

🐦 Twitter: @DataScienceAtHome

📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/

Instagram: https://www.instagram.com/datascienceathome/

Facebook: https://www.facebook.com/datascienceAH

LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast

Discord Channel: https://discord.gg/4UNKGf3

NEW TO DATA SCIENCE AT HOME?

Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com

SEND US MAIL!

We love hearing from you! Send us mail at:

hello@datascienceathome.com

Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!