In this Fully Connected episode, Daniel and Chris kick it off by noting that Stability AI released their SDXL 1.0 LLM!  They discuss its virtues, and then dive into a discussion regarding how the United States, European Union, and other entities are approaching governance of AI through new laws and legal frameworks.  In particular, they review the White House’s approach, noting the potential for unexpected consequences.

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Featuring:
Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website

Show Notes:

Announcing SDXL 1.0
GitHub, Hugging Face, urge EU to relax open-source AI rules
White House: Blueprint for an AI Bill of Rights

LEARNING RESOURCE!

Patterns for Building LLM-based Systems & Products


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Blueprint for an AI Bill of Rights

Making artificial intelligence practical, productive &amp; accessible to everyone.  Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs &amp; more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

Technology

Tech News

Podcasting

Gadgets

Software How-To

We’ve all heard about breaches of privacy and leaks of private health information (PHI). For healthcare providers and those storing this data, knowing where all the sensitive data is stored is non-trivial. Ramin, from Tausight, joins us to discuss how they have deploy edge AI models to help company search through billions of records for PHI.

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Featuring:
Ramin Mohammadi – GitHub, LinkedInDaniel Whitenack – Twitter, GitHub, Website

Show Notes:

Tausight


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Using edge models to find sensitive data

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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Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack.
Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.




Featuring:
Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website

Show Notes:

Ollama
LM Studio
llama.cpp
OpenVINO
MLPerf client working group
Article - 5 top small language models
GPTQ article
Article - Which quantization method is right for you


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Rise of the AI PC & local LLMs

At the age of 72, U.S. Representative Don Beyer of Virginia enrolled at GMU to pursue a Master’s degree in C.S. with a concentration in Machine Learning.
Rep. Beyer is Vice Chair of the bipartisan Artificial Intelligence Caucus & Vice Chair of the NDC’s AI Working Group.  He is the author of the AI Foundation Model Transparency Act & a lead cosponsor of the CREATE AI Act, the Federal Artificial Intelligence Risk Management Act & the Artificial Intelligence Environmental Impacts Act.
We hope you tune into this inspiring, nonpartisan conversation with Rep. Beyer about his decision to dive into the deep end of the AI pool & his leadership in bringing that expertise to Capitol Hill.

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  Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.




Featuring:
Don Beyer – Twitter, LinkedInChris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website

Show Notes:

U.S. Representative Don Beyer
Congressman Don Beyer, Mason student and lifelong learner
Beyer Statement On President Biden’s AI Executive Order
Beyer Appointed To Bipartisan Task Force On Artificial Intelligence


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AI in the U.S. Congress

Daniel & Chris share their first impressions of OpenAI’s newest LLM: GPT-4o and Daniel tries to bring the model into the conversation with humorously mixed results.  Together, they explore the implications of Omni’s new feature set - the speed, the voice interface, and the new multimodal capabilities.

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  Ladder Life Insurance – 100% digital — no doctors, no needles, no paperwork. Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list.
Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack.




Featuring:
Daniel Whitenack – Twitter, GitHub, WebsiteChris Benson – Twitter, GitHub, LinkedIn, Website

Show Notes:

Hello GPT-4o
AI Engineer World’s Fair
AIQCON - the AI Quality Conference
Brave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing)


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First impressions of GPT-4o

There’s a lot of hype about AI agents right now, but developing robust agents isn’t yet a reality in general. Imbue is leading the way towards more robust agents by taking a full-stack approach; from hardware innovations through to user interface. In this episode, Josh, Imbue’s CTO, tell us more about their approach and some of what they have learned along the way.

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Sponsors:

  Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack.
Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.




Featuring:
Josh Albrecht – Twitter, LinkedInChris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website

Show Notes:

CARBS (Imbue’s cost-aware hyperparameter optimizer)
Imbue paper on the stepwise nature of self-supervised learning
A paper on initialization/feature learning co-authored by Jamie Simon, a member of Imbue’s technical team
Imbue


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Blueprint for an AI Bill of Rights

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