episode-header-image

Nov 2022

37m 19s

The practicalities of releasing models

Practical AI LLC

About this episode

Recently Chris and Daniel briefly discussed the Open RAIL-M licensing and model releases on Hugging Face. In this episode, Daniel follows up on this topic based on some recent practical experience. Also included is a discussion about graph neural networks, message passing, and tweaking synthesized voices!

Featuring:

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

Show Notes:

Upcoming Events:

Register for upcoming webinars here!

Up next

Narrative intelligence and the human advantage

As AI reshapes how we work, create, and think about our roles, staying adaptable means understanding not just the technology, but our own stories and identities. Reed Frerichs joins Daniel and Chris to explore narrative intelligence, storytelling, leadership, and personal growth ... Show More

Open models and the future of Physical AI with NVIDIA

As AI moves beyond the cloud and into robots, vehicles, and other physical systems, new approaches to models, simulation, and inference are emerging. Daniel and Chris are joined by Ming-Yu Liu, Vice President of Cosmos Lab at NVIDIA, who shares his perspective on open models, wor ... Show More

From AGENTS.md to Enterprise Deployment

AI agents are moving beyond laptops and prototypes and into enterprise environments where security, compliance, scalability, and reliability matter. Nick Kuhn from VMware Tanzu Platform joins Daniel and Chris to discuss what changes (and what doesn’t) when deploying agents alongs ... Show More

Recommended Episodes

Creating instruction tuned models (Practical AI #223)

At the recent ODSC East conference, Daniel got a chance to sit down with Erin Mikail Staples to discuss the process of gathering human feedback and creating an instruction tuned Large Language Models (LLM). They also chatted about the importance of open data and practical tooling ... Show More

Quick, beautiful web UIs for ML apps (Practical AI #174)

Abubakar Abid joins Daniel and Chris for a tour of Gradio and tells them about the project joining Hugging Face. What's Gradio? The fastest way to demo your machine learning model with a friendly web interface, allowing non-technical users to access, use, and give feedback on mod ... Show More

Stable Diffusion (Practical AI #193)

The new stable diffusion model is everywhere! Of course you can use this model to quickly and easily create amazing, dream-like images to post on twitter, reddit, discord, etc., but this technology is also poised to be used in very pragmatic ways across industry. In this episode, ... Show More

AI's impact on developers (Practical AI #241)

Chris & Daniel are out this week, so we're bringing you a panel discussion from All Things Open 2023 moderated by Jerod Santo (Practical AI producer and co-host of The Changelog) and featuring keynoters Emily Freeman and James Q Quick.

Starting Simple and Machine Learning in Meds

In episode nine we talk with George Dahl, of the University of Toronto, about his work on the Merck molecular activity challenge on kaggle and speech recognition. George recently successfully defended his thesis at the end of March 2015. (Congrats George!) We learn about how net ... Show More

Careers, Skills, and the Evolution of AI (Ep. 248)

<p>!!WARNING!!</p> <p>Due to some technical issues the volume is not always constant during the show. I sincerely apologise for any inconvenience Francesco </p> <p> </p> <p> </p> <p>In this episode, I speak with Richie Cotton, Data Evangelist at DataCamp, as he delves into the d ... Show More

Getting in the Flow with Snorkel AI (Practical AI #117)

Braden Hancock joins Chris to discuss Snorkel Flow and the Snorkel open source project. With Flow, users programmatically label, build, and augment training data to drive a radically faster, more flexible, and higher quality end-to-end AI development and deployment process.

Ep18. Jensen Recap - Competitive Moat, X.AI, Smart Assistant | BG2 w/ Bill Gurley & Brad Gerstner

<p>Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week, joined by Sunny Madra (Groq) they discuss Jensen Huang’s recent appearance on the podcast, including scaling intelligence towards AGI, NVIDIA's ... Show More

939: Mixture-of-Experts and State-Space Models on Edge Devices, with Tyler Cox and Shirish Gupta

State space models (SSMs), granite models, and Mamba: Dell’s Tyler Cox and Shirish Gupta discuss with Jon Krohn why state space models can process information so efficiently, and how Dell’s AI factory helps enterprises manage custom AI workloads. Hear the latest on the Dell Pro A ... Show More