Practical AI: Machine Learning, Data Science, LLM

Rise of the AI PC & local LLMs

Jun 4, 2024

35:37

Snipd AI

The podcast delves into the rise of AI PCs and local LLMs, discussing major announcements from NVIDIA, Apple, Intel, and Microsoft. They explore AI tooling, frameworks, and optimizations for local processing, and how this could impact AI adoption. The episode also touches on simplifying life insurance through digital platforms and the evolving AI hardware landscape, highlighting the challenges of model optimization and the potential of AI laptops for training large models.

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Quick takeaways

Local AI models empower edge functionality through hardware advancements.

Optimizing and quantizing models is crucial for efficient local execution on AI laptops.

Deep dives

Local Offline AI and AI PCs

The episode delves into the growing trend of local offline AI and AI PCs. It discusses the terminology and confusion surrounding AI PCs, emphasizing the need to understand how people are using AI models locally. This shift towards local AI models reflects a natural evolution in software development, enabled by advancements in hardware capabilities. The episode highlights the importance of considering both hardware and software developments in supporting edge functionality.

Combine Experience with Innovation for Enhanced AI Value

00:48

Introduction

3min

Exploring Local Offline AI and AI PCs

14min

Streamlining Life Insurance and AI PC Market

6min

Evolving AI Hardware and Model Optimization Explained

3min

Exploring LLMs, Knowledge Graphs, and Quantization Methods for Model Optimization

4min

Discussion on CPU Derivative Performance and Potential for Private Use Cases

2min

Exploring the Future of AI Laptops and Distributed Training Scenarios

4min

We’ve seen a rise in interest recently and a number of major announcements related to local LLMs and AI PCs. NVIDIA, Apple, and Intel are getting into this along with models like the Phi family from Microsoft. In this episode, we dig into local AI tooling, frameworks, and optimizations to help you navigate this AI niche, and we talk about how this might impact AI adoption in the longer term.

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Featuring:

Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Something missing or broken? PRs welcome!

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