Daily Reading List – August 19, 2024 (#379)

I had a fun weekend with visiting family, and now I’m back to regular work. Today’s reading list has a lot of AI-related content, but coming at it from a variety of angles.

[blog] Is GenAI Falling Short? Not In The Contact Center. I like these two examples. Both automated call summarization and support for “infrequently asked questions” are valid use cases for AI today.

[blog] Is It Time to Version Observability? (Signs Point to Yes). Another banger from Charity who distinguishes Observability 1.0 from Observability 2.0 and why the future is “wide, structured log events.”

[blog] PyTorch is dead. Long live JAX. Edgy title! But also a very well-reasoned argument for why DeepMind’s JAX framework may be a better long term choice.

[blog] Build a text-based adventure game with Gemma 2. Ok, this is probably NOT a use case you’ll use AI for all the time 🙂 But still cool.

[blog] Gemma for Streaming ML with Dataflow. This, however, is a strong use case for AI. Add it to data processing pipelines for actions like sentiment analysis.

[paper] Imagen 3. This looks like a huge jump in performance for text-to-image generation. Read this new research paper for information about this Google model, and some human ratings of generated images.

[blog] Postgres is all you need, even for vectors. Maybe you don’t need all those specialized services when a few workhorse products can solve a myriad of use cases?

[blog] Your infrastructure resources, your way, with new GKE custom compute class API. It took me a moment to “get” this feature, but I think I have it. By defining choices of infrastructure for your Kubernetes cluster, you can scale or auto-migrate into the desired “class.” Sweet.

[article] Onboarding to a ‘legacy’ codebase with the help of AI. These tools aren’t perfect, but they can often point you in the right direction.

[blog] Improving Design Reviews at Google. We’re constantly studying data about how we work at Google, and experimenting with ways to make it better. This post summarizes a paper about our efforts to improve the design review process.

[blog] Deploy Meta Llama 3.1 405B on Google Cloud Vertex AI. The folks at Hugging Face explain how to run Meta’s latest model on Google Cloud’s flagship AI service.

[blog] Why Google Kubernetes Engine (GKE) Leads the Pack: A Comprehensive Comparison of Managed Kubernetes Services. Here’s a solid comparison of cloud-based Kubernetes services, with GKE looking like a strong choice.

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