The Lindahl Letter

Dr. Nels Lindahl
Thoughts about technology (AI/ML) in newsletter form every Friday
Created 27 Jan 2021
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  • Prompt engineering and machine learning
    04 Dec 2021 • 2 min read • 1 0
    During the very long car ride back to Kansas City from Denver for Thanksgiving this year, the whole family got to listen to an audiobook called “The Age of AI: And Our Human Future” by Daniel Huttenlo...
  • Machine learning salaries
    27 Nov 2021 • 2 min read • 1 0
    We are quickly approaching a full year of The Lindahl Letter here on Substack. That event will happen on January 21, 2022. A partial year seems like a short period of time, but in the world of machine...
  • Practical machine learning
    20 Nov 2021 • 2 min read • 1 0
    Over the years I have taken a ton of Coursera courses related to machine learning.[0] It’s amazing how advanced the labs and experiences have become where you can spin up a rela environment in the clo...
  • Time crystals and machine learning
    13 Nov 2021 • 3 min read • 1 0
    Things have certainly gotten interesting. Between all of the talk just about everywhere about the metaverse and the Facebook/Meta name change you have to mix in what happened with time crystals before...
  • Machine learning and the metaverse
    05 Nov 2021 • 2 min read • 1 0
    This is a great week to talk about machine learning and the metaverse. You can check back on Substack and see I set this topic weeks ago. All that said, it was just in time for Mark Zuckerberg to chan...
  • Applied machine learning skills
    29 Oct 2021 • 3 min read • 1 0
    Before we start I’m going to acknowledge that a lot of content exists about how to get a job in the machine learning space. The amount of scholarship on machine learning practitioners is a much smalle...
  • Machine learning security
    22 Oct 2021 • 3 min read • 1 0
    The folks over at NVIDIA released a new language model that is very large, “Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, the World’s Largest and Most Powerful Generative Language Mo...
  • Do most ML projects fail?
    15 Oct 2021 • 2 min read • 1 0
    You have probably heard that around 85% of machine learning projects fail. That statistic comes from a 2018 Gartner report (press release) that contained the following, “Gartner predicts that through ...
  • Reverse engineering GPT-2 or GPT-3
    08 Oct 2021 • 3 min read • 1 0
    When I put this topic on the agenda for consideration I thought at the time that the GPT-3 model was going to be the largest and the pinnacle of models for some time. It was and is an epic language mo...
  • AIOps/MLOps: Consumption of AI Services vs. operations
    01 Oct 2021 • 2 min read • 1 0
    A new topic just got added to the end of the running future publication list kept at the end of this document. The United Kingdom just released a National Artificial Intelligence strategy geared at, “...
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