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🗞️Daily Reading List – March 25, 2024 (#283)

🏷️ Daily Reading List

🗿Semantically Similar Articles (by :title_embedding)

Daily Reading List – March 25, 2024 (#283)

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2024-03-26 - Richard Seroter (from Richard Seroter Blog)

Today's links look at trends from the 900 most popular open source AI tools, choosing between exactly once and at least once streaming architectures, and how to find and address burnout in your team.

It rained a lot in San Diego this past weekend, which is not part of the agreement. I’m thinking of asking for a refund on my taxes. But it’s 60 degrees and sunny today, so all is forgiven. Jump into some good items below! [blog] What I learned from looking at 900 most popular open source AI tools. Outstanding research that’s worth your attention. Chip looks at open source AI projects to detect trends and behavior. [article] The Missing Link Between Strategy and Innovation. I didn’t notice anything earth-shattering here, but it was still a good reminder to understand your “why” and cascade priorities. [blog] At least once Streaming: Save up to 70% for Streaming ETL workloads. Achieving “exactly once” processing architectures isn’t cheap or simple. At-least-once is cheaper and simpler, but comes with tradeoffs. Good post explaining the differences. [article] Transitioning Discord’s Engineering Team to Cloud Development Environments. Read this for some lessons learned about moving from local dev to cloud dev. [blog] Street View comes to Kazakhstan. Even if you never leave your hometown, you can still see the world nowadays. How amazing is that? We’re seeing things now that were impossible to imagine just one generation ago. [article] Tech Works: How to Identify and Address Burnout on Your Team. Most of Jennifer’s article is about identifying burnout, but there are also some proposed areas for leaders to address. [blog] Choosing a suitable database for your startup: An overview of AlloyDB and Spanner. So, so many databases out there. We have a handful in Google Cloud, and this post helps you decide the right one for a given use case. [blog] Corporate blogs in the age of AI. Lak looks at blog post and notices a few changes (AI summaries, generated images) that you may see become more common everywhere. [article] Ensuring the open source moment continues. The chatter continues after the decision by Redis last week to change their license. And the forks are off and running. [blog] AI on GKE — how to find the right size? Here are some steps for setting up machinery to test out open AI models and their performance on different infrastructure configurations. ## Want to get this update sent to you every day? Subscribe to my RSS feed or subscribe via email below: Subscribe

🏷️ Daily Reading List
[Blogs] 🌎 https://seroter.com/2024/03/25/daily-reading-list-march-25-2024-283/ [🧠] [v2] article_embedding_description: {:llm_project_id=>"Unavailable", :llm_dimensions=>nil, :article_size=>4659, :llm_embeddings_model_name=>"textembedding-gecko"}
[🧠] [v1/3] title_embedding_description: {:ricc_notes=>"[embed-v3] Fixed on 9oct24. Only seems incompatible at first glance with embed v1.", :llm_project_id=>"unavailable possibly not using Vertex", :llm_dimensions=>nil, :article_size=>4659, :poly_field=>"title", :llm_embeddings_model_name=>"textembedding-gecko"}
[🧠] [v1/3] summary_embedding_description: {:ricc_notes=>"[embed-v3] Fixed on 9oct24. Only seems incompatible at first glance with embed v1.", :llm_project_id=>"unavailable possibly not using Vertex", :llm_dimensions=>nil, :article_size=>4659, :poly_field=>"summary", :llm_embeddings_model_name=>"textembedding-gecko"}
[🧠] As per bug https://github.com/palladius/gemini-news-crawler/issues/4 we can state this article belongs to titile/summary version: v3 (very few articles updated on 9oct24)

🗿article.to_s 

------------------------------
Title: Daily Reading List – March 25, 2024 (#283)
Summary: Today's links look at trends from the 900 most popular open source AI tools, choosing between exactly once and at least once streaming architectures, and how to find and address burnout in your team.

[content]
It rained a lot in San Diego this past weekend, which is not part of the agreement. I’m thinking of asking for a refund on my taxes. But it’s 60 degrees and sunny today, so all is forgiven. Jump into some good items below!



[blog] What I learned from looking at 900 most popular open source AI tools. Outstanding research that’s worth your attention. Chip looks at open source AI projects to detect trends and behavior.



[article] The Missing Link Between Strategy and Innovation. I didn’t notice anything earth-shattering here, but it was still a good reminder to understand your “why” and cascade priorities.



[blog] At least once Streaming: Save up to 70% for Streaming ETL workloads. Achieving “exactly once” processing architectures isn’t cheap or simple. At-least-once is cheaper and simpler, but comes with tradeoffs. Good post explaining the differences.



[article] Transitioning Discord’s Engineering Team to Cloud Development Environments. Read this for some lessons learned about moving from local dev to cloud dev.



[blog] Street View comes to Kazakhstan. Even if you never leave your hometown, you can still see the world nowadays. How amazing is that? We’re seeing things now that were impossible to imagine just one generation ago.



[article] Tech Works: How to Identify and Address Burnout on Your Team. Most of Jennifer’s article is about identifying burnout, but there are also some proposed areas for leaders to address.



[blog] Choosing a suitable database for your startup: An overview of AlloyDB and Spanner. So, so many databases out there. We have a handful in Google Cloud, and this post helps you decide the right one for a given use case.



[blog] Corporate blogs in the age of AI. Lak looks at blog post and notices a few changes (AI summaries, generated images) that you may see become more common everywhere.



[article] Ensuring the open source moment continues. The chatter continues after the decision by Redis last week to change their license. And the forks are off and running.



[blog] AI on GKE — how to find the right size? Here are some steps for setting up machinery to test out open AI models and their performance on different infrastructure configurations.



##



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[/content]

Author: Richard Seroter
PublishedDate: 2024-03-26
Category: Blogs
NewsPaper: Richard Seroter Blog
Tags: Daily Reading List
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It rained a lot in San Diego this past weekend, which is not part of the agreement. I’m thinking of asking for a refund on my taxes. But it’s 60 degrees and sunny today, so all is forgiven. Jump into some good items below!

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[blog] What I learned from looking at 900 most popular open source AI tools. Outstanding research that’s worth your attention. Chip looks at open source AI projects to detect trends and behavior.

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[article] The Missing Link Between Strategy and Innovation. I didn’t notice anything earth-shattering here, but it was still a good reminder to understand your “why” and cascade priorities.

\n\n\n\n

[blog] At least once Streaming: Save up to 70% for Streaming ETL workloads. Achieving “exactly once” processing architectures isn’t cheap or simple. At-least-once is cheaper and simpler, but comes with tradeoffs. Good post explaining the differences.

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[article] Transitioning Discord’s Engineering Team to Cloud Development Environments. Read this for some lessons learned about moving from local dev to cloud dev.

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[blog] Street View comes to Kazakhstan. Even if you never leave your hometown, you can still see the world nowadays. How amazing is that? We’re seeing things now that were impossible to imagine just one generation ago.

\n\n\n\n

[article] Tech Works: How to Identify and Address Burnout on Your Team. Most of Jennifer’s article is about identifying burnout, but there are also some proposed areas for leaders to address.

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[blog] Choosing a suitable database for your startup: An overview of AlloyDB and Spanner. So, so many databases out there. We have a handful in Google Cloud, and this post helps you decide the right one for a given use case.

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[blog] Corporate blogs in the age of AI. Lak looks at blog post and notices a few changes (AI summaries, generated images) that you may see become more common everywhere.

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[article] Ensuring the open source moment continues. The chatter continues after the decision by Redis last week to change their license. And the forks are off and running.

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[blog] AI on GKE — how to find the right size? Here are some steps for setting up machinery to test out open AI models and their performance on different infrastructure configurations.

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