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Given the fast evolution of technology right now, I wonder if enterprises are doing strategic planning exercises more often. Annual plans don&#8217;t work in this climate. As I read the items below, I was thinking about how organizations are adapting!

[blog] <a href="https://medium.com/google-cloud/using-gemini-function-calling-in-java-for-deterministic-generative-ai-responses-4c86a5ab80a9">Deterministic Generative AI with Gemini Function Calling in Java</a>. Sometimes you have to see something over and over again before it clicks. I&#8217;ve now read enough about function calling in LLMs to &#8220;get&#8221; it. Good post here from Abi.

[blog] <a href="https://medium.com/pinterest-engineering/how-we-built-text-to-sql-at-pinterest-30bad30dabff">How we built Text-to-SQL at Pinterest</a>. Is natural language about to become the preferred interface into data sources? Maybe, with the help of generative AI. Here&#8217;s what Pinterest built.

[guide] <a href="https://cloud.google.com/architecture/rag-capable-gen-ai-app-using-gke">Infrastructure for a RAG-capable generative AI application using GKE</a>. So good. Learn how to build an AI platform that makes it possible to deploy contextual apps that know about your domain.

[article] <a href="https://www.ciodive.com/news/prompt-engineering-AI-LLM-VMware-research/712190/">Is prompt engineering’s party over?</a> That was fast. Will LLMs be better prompts, and are they already better than humans? I wouldn&#8217;t hire a dedicated &#8220;prompt engineer&#8221;, but the tech isn&#8217;t ready for the robots to take this on.

[article] <a href="https://techcrunch.com/2024/04/04/aerospike-raises-100m-for-its-real-time-database-platform-to-capitalize-on-the-ai-boom/">Aerospike raises $100M for its real-time database platform to capitalize on the AI boom</a>. Done right, a lot of existing data vendors will find new life by legitimately serving AI use cases. Good for Aerospike.

[blog] <a href="https://medium.com/google-cloud/parsing-invoices-using-gemini-1-5-api-with-google-apps-script-1f32af1678f2">Parsing Invoices using Gemini 1.5 API with Google Apps Script</a>. There are so many creative uses of LLMs, even when applied to &#8220;boring&#8221; scenarios like processing invoices. Fun example here.

[blog] <a href="https://firebase.blog/posts/2024/04/next-24">Firebase at Cloud Next &#8217;24</a>. This is the most straight-up dev content I&#8217;ve seen at our cloud conference. Learn Flutter and Angular, Go and Android. And go deep on Firebase.

[blog] <a href="https://www.syntasso.io/post/kubecon-eu-paris-the-re-emergence-of-platform-as-a-product">KubeCon EU Paris: The (Re)Emergence of Platform as a Product</a>. I&#8217;ve been on the &#8220;platform as product&#8221; train for many years now, and modern platform engineering embraces that concept.

[blog] <a href="https://cloud.google.com/blog/products/networking/understanding-dns-options-for-gke/?e=48754805">DNS providers for Google Kubernetes Engine explained</a>. Geeky topic, but there are performance and reliability outcomes that stem from your choices here.

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--- !ruby/object:Feedjira::Parser::RSSEntry
title: Daily Reading List – April 4, 2024 (#291)
summary: Today's links look at function calling with LLMs, whether prompt engineering
 is already tired, and if "platform as product" is back.
content: "\nGiven the fast evolution of technology right now, I wonder if enterprises
 are doing strategic planning exercises more often. Annual plans don&#8217;t work
 in this climate. As I read the items below, I was thinking about how organizations
 are adapting!\n\n\n\n[blog] <a href=\"https://medium.com/google-cloud/using-gemini-function-calling-in-java-for-deterministic-generative-ai-responses-4c86a5ab80a9\">Deterministic
 Generative AI with Gemini Function Calling in Java</a>. Sometimes you have
 to see something over and over again before it clicks. I&#8217;ve now read enough
 about function calling in LLMs to &#8220;get&#8221; it. Good post here from Abi.\n\n\n\n[blog]
 <a href=\"https://medium.com/pinterest-engineering/how-we-built-text-to-sql-at-pinterest-30bad30dabff\">How
 we built Text-to-SQL at Pinterest</a>. Is natural language about to become
 the preferred interface into data sources? Maybe, with the help of generative AI.
 Here&#8217;s what Pinterest built.\n\n\n\n[guide] <a href=\"https://cloud.google.com/architecture/rag-capable-gen-ai-app-using-gke\">Infrastructure
 for a RAG-capable generative AI application using GKE</a>. So good. Learn
 how to build an AI platform that makes it possible to deploy contextual apps that
 know about your domain.\n\n\n\n[article] <a href=\"https://www.ciodive.com/news/prompt-engineering-AI-LLM-VMware-research/712190/\">Is
 prompt engineering’s party over?</a> That was fast. Will LLMs be better
 prompts, and are they already better than humans? I wouldn&#8217;t hire a dedicated
 &#8220;prompt engineer&#8221;, but the tech isn&#8217;t ready for the robots to
 take this on.\n\n\n\n[article] <a href=\"https://techcrunch.com/2024/04/04/aerospike-raises-100m-for-its-real-time-database-platform-to-capitalize-on-the-ai-boom/\">Aerospike
 raises $100M for its real-time database platform to capitalize on the AI boom</a>.
 Done right, a lot of existing data vendors will find new life by legitimately serving
 AI use cases. Good for Aerospike.\n\n\n\n[blog] <a href=\"https://medium.com/google-cloud/parsing-invoices-using-gemini-1-5-api-with-google-apps-script-1f32af1678f2\">Parsing
 Invoices using Gemini 1.5 API with Google Apps Script</a>. There are so
 many creative uses of LLMs, even when applied to &#8220;boring&#8221; scenarios
 like processing invoices. Fun example here.\n\n\n\n[blog] <a href=\"https://firebase.blog/posts/2024/04/next-24\">Firebase
 at Cloud Next &#8217;24</a>. This is the most straight-up dev content I&#8217;ve
 seen at our cloud conference. Learn Flutter and Angular, Go and Android. And go
 deep on Firebase.\n\n\n\n[blog] <a href=\"https://www.syntasso.io/post/kubecon-eu-paris-the-re-emergence-of-platform-as-a-product\">KubeCon
 EU Paris: The (Re)Emergence of Platform as a Product</a>. I&#8217;ve been
 on the &#8220;platform as product&#8221; train for many years now, and modern platform
 engineering embraces that concept.\n\n\n\n[blog] <a href=\"https://cloud.google.com/blog/products/networking/understanding-dns-options-for-gke/?e=48754805\">DNS
 providers for Google Kubernetes Engine explained</a>. Geeky topic, but
 there are performance and reliability outcomes that stem from your choices here.\n\n\n\n##\n\n\n\nWant
 to get this update sent to you every day? <a rel=\"noreferrer noopener\" href=\"https://seroter.com/feed/\"
 target=\"_blank\">Subscribe to my RSS feed</a> or subscribe via email below:\n\n\n<div
 class=\"wp-block-jetpack-subscriptions__supports-newline wp-block-jetpack-subscriptions\">\n\t\t<div>\n\t\t\t<div>\n\t\t\t\t<div>\n\t\t\t\t\t\n\t\t\t\t\t\t<a href=\"https://seroter.com/?post_type=post&#038;p=16179\" style=\"font-size:
 16px;padding: 15px 23px 15px 23px;margin: 0px; margin-left: 10px;border-radius:
 0px;border-width: 1px; background-color: #113AF5; color: #FFFFFF; text-decoration:
 none; white-space: nowrap; margin-left: 0\">Subscribe</a>\n\t\t\t\t\t\n\t\t\t\t</div>\n\t\t\t</div>\n\t\t</div>\n\t</div>"
image: https://2.gravatar.com/avatar/2fab44e2f8decc2654cf4cb6b3bef813b072a16c7206880423c14d2e4be6f910?s=96&d=https%3A%2F%2F2.gravatar.com%2Favatar%2Fad516503a11cd5ca435acc9bb6523536%3Fs%3D96
url: https://seroter.com/2024/04/04/daily-reading-list-april-4-2024-291/
author: Richard Seroter
comments: https://seroter.com/2024/04/04/daily-reading-list-april-4-2024-291/#respond
published: 2024-04-04 23:30:16.000000000 Z
categories:
- Daily Reading List
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