
AI, big data, neural networks, ML... the list of buzzwords is as long as it is hyped. I'm a data scientist, author and teacher, and while I love this domain, I'm sick of the bluffing and the bla bla. I'll give it to you short or clear. Hopefully both.
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Concrete advice for teams building LLM-powered evaluations
My last post was all about conceptual problems with using Large Language Models to judge other LLMs. In it, I presented the “gotchas” that teams should watch out for when building...
Why it's an odd choice. Why you should try it anyway. And how to go about it.
Have you ever wanted to build a trillion-parameter labelling machine? And by that I mean, would you use a Large Language Model to solve a classification problem?
Concrete ‘gotchas’ for people building things with Gen AI.
As teams across the world scramble to build things with Gen AI and Large Language Models, countless startups are scrambling to build LLM evaluation tools to serve them. Many such t...
A framework for fixing the gaps in your LLM-testing strategy
In my last post [1], I described how my team and I have been testing our WIP conversational assistant, despite having no baseline or benchmarks, and despite the LLM testing lands...
Diving into current courtroom dramas around AI, copyright, and the true meaning of “fair use.”
This post originally appeared on my Medium blog, katherineamunro.medium.com
Subscribers, engagement, traffic and sponsorship for Beyond the Buzzwords, with Katherine Munro.
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The writers behind this newsletter.
Data Scientist. Speaker. Teacher. Editor/co-author of The Handbook of #DataScience and #AI. Get it here: https://t.co/waoMT7atYW
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