I agree. But wouldn’t this just expand the scope? You will want to solve larger problems and will need larger prompts For example: imagine that you teach LLM new profession, worth of 5 years studying, full of very narrow specializations.
EDUCATION
-
American Math Education: Encouraging Creative Thinking Over Rigid Rules
By
–
Adventures in American math education: Problem: Cindy has less than ten $5 bills in her pocket. How much money could she have?
Lillian (9): … Any amount.
Me: That’s my girl! Now, to write some math fanfiction. -
Knowledge Gap Between AI Experts and the General Public
By
–
I keep thinking about the knowledge gap between AI experts — who are deep in the weeds of LLMs — and everyone else.
-
Large Language Models Course for AI Beginners and Professionals
By
–
Want to understand Large Language Models? This course is designed for all, from AI beginners to seasoned professionals. Basic Python knowledge is enough. Make AI practicable and accessible today!
-
Prompt Engineering Will Become Essential Skill Like Programming
By
–
I think prompt engineering at some level will exist, just like programming does today. How big it will be is a different question. How to talk to machines will be an important skill. But it boils down to be a good communicator.
-
LLMs as Assistive Technology: Potential and Limitations
By
–
What could LLMs contribute to a more perfect society? Where is it weak? @aurore_ge sifts through the optics to highlight its assistive potential in translation, neurodiversity and more. There are just a few caveats… atelier.net/insights/llms-as…
-
Claude Hackathon London: Build AI Applications November 4-5
By
–
We’re welcoming the UK community to #BuildwithClaude at our London hackathon on November 4-5. Participants will receive access to the Claude API, attend a range of AI workshops, and win great prizes! Apply here: https://
partiful.com/e/pQHQrWPg1A6P
31AYZMTd
… -
Generative AI Drives Need for Data Literacy Skills
By
–
The explosion of #generativeAI has accelerated the need for data literacy. Join this week's #SASchat to explore available resources to help professionals arm themselves with must-have data skills, needed in any field. http://
2.sas.com/6015uwNKL -
Diversify Your AI Learning Sources for Career Success
By
–
Kickstart your AI career by diversifying your learning sources. I recommend learning through books, online courses, videos, articles, and podcasts for a comprehensive understanding. Variety not only maintains interest but offers different perspectives on complex topics.
-
Stanford Fellowship: Technology Ethics and Public Policy Summer Program
By
–
Calling Stanford graduate students! Looking for a summer fellowship program? Here’s an opportunity to delve into the intersection of technology, ethics, public policy, and social impact, including a paid summer placement in Washington, D.C. Apply by Dec 1: https://
stanford.io/4768Dim