Education

Prompt engineering is a bad name as it implies both that prompting AI is well-understood & deterministic (engineering) and that is should be done by STEM folks (engineers). But prompting can also be thought of as teaching or managing. Humanities can help.

“Are Large Language Models good at language? A recent paper by Dentella, Günther, & Leivada (DGL) argues no: LLMs can’t distinguish grammatical sentences. We re-analyzed their data and found that LLMs are highly accurate and capture fine-grained variation in human judgments. 1/10” / X – https://twitter.com/_jennhu/status/1754891894704746789

“It is an amazing time to work in the cognitive science of language. Here are a few remarkable recent results, many of which highlight ways in which the critiques of LLMs (especially from generative linguistics!) have totally fallen to pieces.” / X – https://twitter.com/spiantado/status/1755293775197548789 

Oslo buys Chat GPT for 110,000 students and teachers – Digi.no – https://www.digi.no/artikler/oslo-kjoper-chat-gpt-til-110-000-elever-og-laerere/543339

Email Grader – https://www.sellscale.com/email-grader 

Grounded language acquisition through the eyes and ears of a single child | Science – https://www.science.org/doi/10.1126/science.adi1374

Be Sure To Read “This Week In AI”

This week’s executive overview and top links are here:

AI News #19: Week Ending 02/02/2024 with Executive Summary and Top 18 Stories

The post you just read is an extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.

Credits/Sources

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