Greetings from India! 32 hours of travel later, I was mostly raring to go. Today was an office day and it was great meeting teammates and hearing about what matters most to them. Tomorrow, we’ve got a hands-on generative AI event with WAY too many people signed up to attend.
[blog] The next chapter of our Gemini era. So this was a big deal last week, and I caught up on the posts today. New models, unified branding, and a vertical integration that’s unmatched in the industry. More here.
[blog] Analyzing customer feedback at scale — from Google Sheets to BigQuery!. Alicia previously demonstrated using cloud spreadsheets to do sentiment analysis, and now she’s upgraded to BigQuery. Good post.
[blog] How I write HTTP services in Go after 13 years. This is NOT how I write HTTP service in Go because I’m not very good at it. I learned a dozen things while reading this.
[blog] Medical Text Processing on Google Cloud. This is where AI seems clearly helpful. Doing OCR, document processing, and classification is a real use case.
[article] Get started with Flask 3.0. I don’t really know or use Python (yet), but this was a good read for learning about this popular web framework.
[blog] Cut Container Startup Time for Better Performance and Costs — Part1. When I’m first learning a technology, I’m not obsessed with optimization. It’s just about getting the fundamentals down. But once you do—in this case, with Kubernetes—it’s worthwhile to know the “right” way to set things up.
[site] Prompt Engineering Guide: Gemini Advanced. This site offers prompt guidance for a number of popular LLMs. This new page shows some of the powerful features of Gemini.
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