HM Godoy

Video by FINOS via YouTube

Governance as code is the only way to manage agented AI in production.

As AI agents take on more operational responsibility, relying on external policy documents is no longer sufficient. We analyze why governance must be embedded directly into your deployment and monitoring pipelines to ensure reliable system behavior.

Learn how to shift from manual compliance to automated AI governance strategies that scale.

Subscribe for more technical breakdowns on building reliable AI systems.

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Video by The Late Night Linux Family via YouTube

Support us on Patreon and get an ad-free RSS feed with some early episodes. https://www.patreon.com/LateNightLinux

Some of the ways you can mitigate the ridiculous hardware prices, and picking the right size network for a small company.

https://2.5admins.com/2-5-admins-317/

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Video by SAP via YouTube

From idea to engaging email content in seconds.

AI Content Composer for SAP Engagement Cloud helps marketers create relevant email content fast. In addition, RCS messaging enables richer, more interactive customer communications.

Check out these and other SAP CX Q2 innovations here:
https://sap.to/6058BGpQkA

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Video by TWiT Tech Podcast Network via YouTube

On Intelligent Machines, Leo, Paris, and Mikah talk to Matthew Cassinelli of Supercomputer.tech to talk about Apple’s moves with Siri.

For the full episode, go to: https://twit.tv/im/887

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TWiT.tv is a technology podcasting network located in the San Francisco Bay Area with the #1 ranked technology podcast This Week in Tech hosted by Leo Laporte. Every week we produce over 30 hours of content on a variety of programs including Tech News Weekly, MacBreak Weekly, Windows Weekly, Security Now, Intelligent Machines, and more.

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Video by OpenAI via YouTube

See how insights in the ChatGPT Admin Console help you understand AI adoption, usage, and spend across your organization. Explore team use cases, review Codex contributions, and identify where to focus training and expand access. Then use the ChatGPT Admin plugin to turn those analytics into a leadership deck and share it in Slack.

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Video by H2O.ai via YouTube

Every agent, language model and predictive system is built on the same foundation. Get this part right and the rest of the glossary is easier.

Terms covered:
– Artificial Intelligence: systems that learn, adapt and improve from data instead of following fixed rules written by a programmer
– Machine Learning: the mechanism, where a model learns to tell fraud from non-fraud by seeing thousands of examples
– Features: the variables and attributes that tell a model what to pay attention to
– GPU: the hardware that makes training viable on text, images and video, built for thousands of calculations running at once

AI sets the vision. Machine learning is the mechanism. Features are what the model learns from. GPUs are what make it scalable.

—
AI Fundamentals Glossary | H2O.ai University
Full playlist: https://www.youtube.com/playlist?list=PLAWKlIKS-66E
Free courses and certifications: https://h2o.ai/university

#MachineLearning #AI #GPU #AIGlossary #H2Oai

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Video by Hugging Face via YouTube

Transformers.js v4.3 is out, and the big one is structured output.

With the new @huggingface/transformers-structured-output package you can force a model to follow an exact JSON Schema or regex, directly in the browser. No more parsing markdown fences and hoping the model picked the right property names.

In this video I walk through how constrained decoding works, how the new package hooks into the logits processor in Transformers.js, and the technical story behind it: from a WASM wrapper around llguidance to a pure JavaScript implementation with almost no overhead.

Also in 4.3: a complete overhaul of the documentation pipeline and a bunch of community-contributed fixes and features. Thank you!

Chapters
0:00 Transformers.js 4.3 is out
0:26 New documentation pipeline
1:00 Community contributions
1:19 The problem: unreliable JSON from LLMs
2:18 How constrained decoding works
3:25 Adding the structured output processor
3:37 The new packages folder and plugin approach
6:03 Using regex instead of JSON Schema
6:45 Demo: recipe generator
7:33 Behind the feature: llguidance
9:02 Rewriting it in pure JavaScript
9:22 Performance across Gemma 4, Granite and LFM 2.5
10:26 Try it out

Links
Release notes: https://github.com/huggingface/transformers.js/releases/tag/4.3.0
NPM: https://www.npmjs.com/package/@huggingface/transformers/v/4.3.0
Structured output package: https://www.npmjs.com/package/@huggingface/transformers-structured-output

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