Daily Reading List – August 21, 2024 (#381)

I made it to Kansas, and I’ve got a bunch of fun demos lined up for customers tomorrow. How do you feel about doing (or watching) live demos? I know there’s a risk, but it feels more genuine than playing a recording.

[blog] Run your AI inference applications on Cloud Run with NVIDIA GPUs. This isn’t “classic” serverless. Cloud Run is the best modern runtime, and now you can run LLMs and GPU-powered apps here. Also, Cloud Run functions is now a thing!

[blog] 10 Google AI Tools for GenAI Developers You Need to Know. A couple of these were new to me, believe it or not. There’s some goodness here for those creating prompts, apps, or just experimenting with AI.

[article] How to Set Transformation Targets That Actually Drive Change. We’re in a planning cycle now at work, so this article feels timely.

[blog] Using the Kubernetes Resource Model to provision Cloud infrastructure. I’m still a big fan of this approach over “just” the Terraform approach to provisioning infrastructure. But, it hasn’t yet become mainstream.

[blog] Transformers in music recommendation. Neat stuff on how to build a more contextual and useful recommendation engine for YouTube Music.

[article] C-suite enthusiasm over generative AI wanes, putting pressure on quick wins. Entirely predictable, and frankly, welcome. Let’s get past the extreme hype phase and start solving genuine use cases.

[guide] Use generative AI for utilization management. This reference architecture is targeted at health insurance companies, but it offers a blueprint for anyone doing automation of document processing.

[article] Angular’s Efforts To Be Easier and Developer Friendly. A JavaScript framework focused on performance, developer experience, and AI smarts? I like that.

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