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🗞️Daily Reading List – April 8, 2024 (#293)

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Daily Reading List – April 8, 2024 (#293)

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2024-04-08 - Richard Seroter (from Richard Seroter Blog)

Today's links look at how to fine tune an LLM, what to do about mainframes, and how to make corporate learning less boring.

It’s the day before Google Cloud Next starts, so I’m spending it doing some final prep and hanging out with my team in Las Vegas. Meanwhile, the tech world keeps going ’round, and I read some good items today. [blog] Fine Tuning Large Language Models: How Vertex AI Takes LLMs to the Next Level. Here’s one of the more approachable articles I’ve read about fine tuning. Abi does such a great job explaining a use case and the steps that anyone can follow to repeat her exercise. [article] Banking’s mainframe strategies shift as boards push for AI, cloud. Mainframes remain a very important source of data and computing power at many big companies. [article] As mainframes turn 60, skill gaps threaten the enterprise workhorse. Two mainframe articles in one day? I gotta keep you guessing. This is a longer-form piece that explores the staffing opportunity and challenge around mainframes. [article] Shifting Left Is Now Mainstream for Developers, or Is It? This looks primarily at security-related activities (and vendors) that apply early in the dev cycle. [blog] Creativity in Software Engineering. Abi looks at that research paper from Google and pulls out the key takeaways. [article] Corporate Learning Is Boring — But It Doesn’t Have to Be. We’re not talking that boring, obligatory training we all have to take. This is about the sort of training we want to take, but it doesn’t engage us well. [article] InfoQ Software Architecture and Design Trends Report – April 2024. The crew at InfoQ create these reports to show what is mainstream, and what’s emerging. It’s useful to do this sort of exercise for your own company to figure out what’s recommended versus incubated. [guide] DORA’s software delivery metrics: the four keys. Nathen offers up a useful deep dive into the four key indicators of a high performing organization. I like the “pitfalls” section. [article] How Do We Talk to Each Other? How Surfacing Communication Patterns in Organizations Can Help You Understand and Improve Your Resilience. Nora has a great talk about how people talk to each other and work together. She explains the impact on scenarios like incident management. ## Want to get this update sent to you every day? Subscribe to my RSS feed or subscribe via email below: Subscribe

[Blogs] 🌎 https://seroter.com/2024/04/08/daily-reading-list-april-8-2024-293/ [🧠] [v2] article_embedding_description: {:llm_project_id=>"Unavailable", :llm_dimensions=>nil, :article_size=>4361, :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=>4361, :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=>4361, :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

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Title: Daily Reading List – April 8, 2024 (#293)
Summary: Today's links look at how to fine tune an LLM, what to do about mainframes, and how to make corporate learning less boring.

[content]
It’s the day before Google Cloud Next starts, so I’m spending it doing some final prep and hanging out with my team in Las Vegas. Meanwhile, the tech world keeps going ’round, and I read some good items today.



[blog] Fine Tuning Large Language Models: How Vertex AI Takes LLMs to the Next Level. Here’s one of the more approachable articles I’ve read about fine tuning. Abi does such a great job explaining a use case and the steps that anyone can follow to repeat her exercise.



[article] Banking’s mainframe strategies shift as boards push for AI, cloud. Mainframes remain a very important source of data and computing power at many big companies. 



[article] As mainframes turn 60, skill gaps threaten the enterprise workhorse. Two mainframe articles in one day? I gotta keep you guessing. This is a longer-form piece that explores the staffing opportunity and challenge around mainframes.



[article] Shifting Left Is Now Mainstream for Developers, or Is It? This looks primarily at security-related activities (and vendors) that apply early in the dev cycle.



[blog] Creativity in Software Engineering. Abi looks at that research paper from Google and pulls out the key takeaways.



[article] Corporate Learning Is Boring — But It Doesn’t Have to Be. We’re not talking that boring, obligatory training we all have to take. This is about the sort of training we want to take, but it doesn’t engage us well.



[article] InfoQ Software Architecture and Design Trends Report – April 2024. The crew at InfoQ create these reports to show what is mainstream, and what’s emerging. It’s useful to do this sort of exercise for your own company to figure out what’s recommended versus incubated.



[guide] DORA’s software delivery metrics: the four keys. Nathen offers up a useful deep dive into the four key indicators of a high performing organization. I like the “pitfalls” section.



[article] How Do We Talk to Each Other? How Surfacing Communication Patterns in Organizations Can Help You Understand and Improve Your Resilience. Nora has a great talk about how people talk to each other and work together. She explains the impact on scenarios like incident management.



##



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[/content]

Author: Richard Seroter
PublishedDate: 2024-04-08
Category: Blogs
NewsPaper: Richard Seroter Blog
Tags: Daily Reading List
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It’s the day before Google Cloud Next starts, so I’m spending it doing some final prep and hanging out with my team in Las Vegas. Meanwhile, the tech world keeps going ’round, and I read some good items today.

\n\n\n\n

[blog] Fine Tuning Large Language Models: How Vertex AI Takes LLMs to the Next Level. Here’s one of the more approachable articles I’ve read about fine tuning. Abi does such a great job explaining a use case and the steps that anyone can follow to repeat her exercise.

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[article] Banking’s mainframe strategies shift as boards push for AI, cloud. Mainframes remain a very important source of data and computing power at many big companies.

\n\n\n\n

[article] As mainframes turn 60, skill gaps threaten the enterprise workhorse. Two mainframe articles in one day? I gotta keep you guessing. This is a longer-form piece that explores the staffing opportunity and challenge around mainframes.

\n\n\n\n

[article] Shifting Left Is Now Mainstream for Developers, or Is It? This looks primarily at security-related activities (and vendors) that apply early in the dev cycle.

\n\n\n\n

[blog] Creativity in Software Engineering. Abi looks at that research paper from Google and pulls out the key takeaways.

\n\n\n\n

[article] Corporate Learning Is Boring — But It Doesn’t Have to Be. We’re not talking that boring, obligatory training we all have to take. This is about the sort of training we want to take, but it doesn’t engage us well.

\n\n\n\n

[article] InfoQ Software Architecture and Design Trends Report – April 2024. The crew at InfoQ create these reports to show what is mainstream, and what’s emerging. It’s useful to do this sort of exercise for your own company to figure out what’s recommended versus incubated.

\n\n\n\n

[guide] DORA’s software delivery metrics: the four keys. Nathen offers up a useful deep dive into the four key indicators of a high performing organization. I like the “pitfalls” section.

\n\n\n\n

[article] How Do We Talk to Each Other? How Surfacing Communication Patterns in Organizations Can Help You Understand and Improve Your Resilience. Nora has a great talk about how people talk to each other and work together. She explains the impact on scenarios like incident management.

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