Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
MLW Preview Video: Aric LaBarr, Institute for Advanced Analytics
 In anticipation of his upcoming presentation at Predictive Analytics...
ML in the Spotlight: Trailblazers with Walter Isaacson Covers Predictive Analytics
 Predictive analytics got another public spotlight and Machine Learning Times Executive...
ChapGPT Doesn’t “Know” But It Can Tell
  Polanyi’s paradox, named in honor of the philosopher...
Take the 2023 Rexer Analytics Data Science Survey Now
  Rexer Analytics and Machine Learning Week launch 2023...

Large Language Models

ChapGPT Doesn’t “Know” But It Can Tell

  Polanyi’s paradox, named in honor of the philosopher and polymath Michael Polanyi, states, “we know more than we can tell.” He means that most of our knowledge is tacit and cannot be easily formalized with words. In The Tacit Dimension, Polanyi gives the example of recognizing a face without being able to tell

The Biggest Bottleneck for Large Language Model Startups is UX

 Originally published in Innovation Endeavors, Nov 1, 2022.  Applied large language model startups have exploded in the past year. Enormous advances in underlying language modeling technology, coupled with the early success of products like Github CoPilot, have...

Productizing Large Language Models

 Originally posted on Replit.com, Sept 21, 2022.  Large Language Models (LLMs) are known for their near-magical ability to learn from very few examples — as little as zero — to create language wonders. LLMs can chat, write...