Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How Generative AI Helps Predictive AI
 Originally published in Forbes, August 21, 2024 This is the...
4 Ways Machine Learning Can Perpetuate Injustice and What to Do About It
 Originally published in Built In, July 12, 2024 When ML...
The Great AI Myth: These 3 Misconceptions Fuel It
 Originally published in Forbes, July 29, 2024 The hottest thing...
Where FICO Gets Its Data for Screening Two-Thirds of All Card Transactions
 Originally published in The European Business Review, March 21,...

Machine Learning

FAQ About Eric Siegel’s New Book, “The AI Playbook”

  There are plenty of questions to answer about The AI Playbook. Readers of this book come with diverse backgrounds and various preconceptions about the problem the book aims to solve: getting machine learning deployed. This FAQ will orient you, clarifying why you should read this book and aligning your expectations. Free book: Come to

How to Build An Enterprise LLM Application: Lessons From GitHub Copilot

 Originally published in The GitHub Blog, Sept 6, 2023.  It took us three years to develop GitHub Copilot before we officially launched it to the general public. To go from idea to production, we followed three stages—find...

Spotify Is Going To Clone Podcasters’ Voices — And Translate Them to Other Languages

 Originally published in The Verge, Sept 25, 2023.   What if podcasters could flip a switch and instantly speak another language? That’s the premise behind Spotify’s new AI-powered voice translation feature, which reproduces podcasts in other languages using...

How Google Taught AI To Doubt Itself

 Originally published in The Verge, Sept 20, 2023.   Today let’s talk about an advance in Bard, Google’s answer to ChatGPT, and how it addresses one of the most pressing problems with today’s chatbots: their tendency to make...

How To Make History With LLMs & Other Generative Models

 Originally published in Leigh Marie’s Newsletter, Sept 21, 2023.   Or, I’m getting tired of market maps and am ready for some hotter takes. It’s been well over a year since I published my overview of large language models,...

GitHub’s AI-Powered Coding Chatbot Is Now Available For Individuals

 Originally published in The Verge, Sept 20, 2023. Microsoft-owned GitHub is rolling out its AI-powered coding chatbot to more people. The company launched its Copilot Chat tool in public beta for business users in July, and on Wednesday,...

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

 Originally published in together.ai, Sept 11, 2023. Large Language Models (LLMs) have changed the world. However, generating text with them can be slow and expensive. While methods like speculative decoding have been proposed to accelerate the generation...

Machines of Loving Understanding

 Originally published in Pete Warden’s Blog, Nov 11, 2022. I like to think (it has to be!) of a cybernetic ecology where we are free of our labors and joined back to nature, returned to our mammal...

Announcing Eric Siegel’s New Book: The AI Playbook

  Dear Reader, I’m excited to announce the forthcoming, second book by Eric Siegel, The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. I’ve appended some details below – or click here for more info...

Can LLMs Learn From a Single Example?

 Originally published in Fast.AI, Sept 4, 2023. We’ve noticed an unusual training pattern in fine-tuning LLMs. At first we thought it’s a bug, but now we think it shows LLMs can learn effectively from a single example....

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