Richard Seroter (@rseroter) 's Twitter Profile
Richard Seroter

@rseroter

Sharing tech ideas from people smarter than me. Chief Evangelist @googlecloud, @pluralsight trainer, writer, speaker.

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linkhttp://seroter.com calendar_today18-06-2009 23:20:30

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Message Queues in System Design levelup.gitconnected.com/message-queues… < queues? That's super boring tech that's also in use more than anything AI-related. Always good to learn/refresh the fundamentals!

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I'm loving the new landing page from Hugging Face for Google Cloud. Learn how to train and deploy models with their Deep Learning Containers. huggingface.co/docs/google-cl… Also, the Hugging Face GitHub repo for DLC on Google Cloud: github.com/huggingface/Go…

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I just tried this. Very slick. Compare prompt results between Gemini 1.0, 1.5, and Gemma versions. Try it right now in Google AI Studio. ai.google.dev/aistudio

Richard Seroter (@rseroter) 's Twitter Profile Photo

I don't think we have a cloud database that's missing vector support at this point. Now, Memorystore for Redis Cluster (cloud.google.com/memorystore/do…) and Memorystore for Valkey (cloud.google.com/memorystore/do…).

I don't think we have a cloud database that's missing vector support at this point.

Now, Memorystore for Redis Cluster (cloud.google.com/memorystore/do…) and Memorystore for Valkey (cloud.google.com/memorystore/do…).
Richard Seroter (@rseroter) 's Twitter Profile Photo

What's Ray? And why would you run Ray on Kubernetes? If you care about scaling Python or AI workloads, keep reading. Kaslin Fields has a good post that answers your questions. I learned something! kaslin.rocks/ray-on-k8s/

What's Ray? And why would you run Ray on Kubernetes? If you care about scaling Python or AI workloads, keep reading.

<a href="/kaslinfields/">Kaslin Fields</a> has a good post that answers your questions. I learned something!

kaslin.rocks/ray-on-k8s/
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Seroter Daily Reading List – September 13, 2024 (#397): Today’s links look at how Google builds engineering teams, why Cursor is catching attention for AI coding assistance, and what a platform engineering-ready Kubernetes looks like. seroter.com/2024/09/13/dai…

Philipp Schmid (@_philschmid) 's Twitter Profile Photo

Just had a special experience with Google DeepMind Gemini 1.5 Pro's long-context capabilities! 🤯 I extracted the audio from Alex Albert 76-minute video on prompting at Anthropic, turning the video into a 140k token input. Before watching, I thought, "Let's see what AI can do

Just had a special experience with <a href="/GoogleDeepMind/">Google DeepMind</a>  Gemini 1.5 Pro's long-context capabilities! 🤯 I extracted the audio from <a href="/alexalbert__/">Alex Albert</a> 76-minute video on prompting at Anthropic, turning the video into a 140k token input.

Before watching, I thought, "Let's see what AI can do
Richard Seroter (@rseroter) 's Twitter Profile Photo

How might you build an LLM-powered app using Go? Eli Bendersky offers up three solid approaches: direct APIs, LangChain for Go, and Genkit for Go ... go.dev/blog/llmpowered

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In which Hope Scrollin says that "open source foundations are a good thing" and brings receipts. redmonk.com/jgovernor/2024… Relatedly, CNCF added more members, which is great: cncf.io/announcements/…

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Compare multimodal LLM results? Last week, Logan Kilpatrick shared that Google AI Studio (ai.google.dev/aistudio) now had a "compare" feature. I just tried comparing Gemini 1.5 Pro and Flash results using an arch diagram and "best practices" PDFs. Cool to see side by side!

Compare multimodal LLM results? 

Last week, <a href="/OfficialLoganK/">Logan Kilpatrick</a> shared that Google AI Studio (ai.google.dev/aistudio) now had a "compare" feature. I just tried comparing Gemini 1.5 Pro and Flash results using an arch diagram and "best practices" PDFs. Cool to see side by side!
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Did you know that the gaming industry was the target of 46% of DDoS attacks? I did not. Here's a story on how EA is protecting themselves with a unique managed service ... cloud.google.com/blog/products/…

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We recently hit a milestone: in the last 30 days over one million Colab users accessed our ✨Gemini-powered Code AI features✨. Learn more from our team here! youtube.com/watch?v=V7RXyq…

Richard Seroter (@rseroter) 's Twitter Profile Photo

A few hints? A couple of best practices? Nope, this post goes for broke with *fifty* tips for better Angular development. The gauntlet has been laid down. developer.mescius.com/blogs/the-top-…

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Customer complaints are a GOOD thing? Be HAPPY when you're drowning in feature requests? Your competitive landscape is LIT UP and you should celebrate? This First Round piece offers non-obvious signs you're getting early traction: review.firstround.com/non-obvious-si…

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We announced DataGemma last week, an open model with grounding in Data Commons. This engineering post goes deeper into "retrieval interleaved generation (RIG)" and how it works: research.google/blog/grounding…

We announced DataGemma last week, an open model with grounding in Data Commons.

This engineering post goes deeper into "retrieval interleaved generation (RIG)" and how it works: research.google/blog/grounding…
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I can't say I've seen a lot written about unit testing your data pipelines. This post from Svetak Sundhar about testing Apache Beam may give you some ideas ... beam.incubator.apache.org/blog/unit-test…

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How Google Makes Custom Cloud Chips That Power Apple AI And Gemini youtube.com/watch?v=MucuOt… < TPUs are training our models, and Apple's too. Fun CNBC segment with a first look at our chip lab.

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A few lines of code to create embeddings, update a corpus of data, and generate relevant answers from an LLM? This post shows off a managed Google Cloud experience for LlamaIndex that looks super approachable. medium.com/google-cloud/g…

A few lines of code to create embeddings, update a corpus of data, and generate relevant answers from an LLM?

This post shows off a managed <a href="/googlecloud/">Google Cloud</a> experience for LlamaIndex that looks super approachable.

medium.com/google-cloud/g…
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Seroter Daily Reading List – September 16, 2024 (#398): Today’s links look at building LLM-powered apps in Go, why open source foundations are helpful, and how you can predict developer attrition. seroter.com/2024/09/16/dai…