Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...

Community

Peak Data

 Originally published in East Wind, Oct 25, 2023. I’m probably not the first person to write about the insane leverage that LLMs confer to engineers, but Stack Overflow’s 28% layoff really got me thinking about the future of human-generated data, especially in the context of a potential model collapse (whereby “models forget the true underlying data distribution” once they are

The World’s Biggest AI Models Aren’t Very Transparent, Stanford Study Says

 Originally published in The Verge, Oct 18, 2023.   No prominent developer of AI foundation models — a list including companies like OpenAI and Meta — is releasing sufficient information about their potential impact on society, determines a new...

Commercializing AI in Healthcare: The Enterprise Buyer Perspective

 Originally published in a16z.com, Oct 12, 2023. What do enterprise buyers in healthcare care about most when evaluating AI products? To answer that question, we interviewed leaders from many of the largest healthcare providers and insurers across...

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...

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