We no longer learn to know. We learn to speak well to machines. Knowledge has become instant. What matters is the ability to formulate. Prompt engineering is the new Latin.
Not teaching it condemns us to digital illiteracy. My latest article
EDUCATION
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From Instant Knowledge to Prompt Engineering: The New Literacy
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Post-Training Fine-Tuning Specializes AI for Professional Tasks
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#2: Post-training fine-tunes that general knowledge for a specific task—like training to become a doctor, lawyer, or coder.
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NotebookLM: Free AI Assistant for Document Analysis
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2. NotebookLM
An AI assistant trained only on your uploaded notes & PDFs. Summarize, brainstorm, or fact-check — no web distractions. → Ideal for researchers, students, and writers. Free while in experimental phase -
Stanford Expert on AI Use in Academic Settings
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How are Stanford experts using AI? In this new @Stanford series, @StanfordHAI Senior Fellow @Rbaltman explains why he permits AI in classes, rejects it for recommendation letters, and feels both cautious and optimistic about its future:
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AI-for-LLMs Bootcamp Delivered at Europol Innovation Lab Paris
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Just wrapped an incredible week in Paris delivering an AI-for-LLMs bootcamp to the Innovation Lab at Europol. Can you find a better place for a training than the center of Paris?! And likewise, we couldn’t have asked for a better team to train. All passionate learners and
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nanoGPT: From Teaching Tool to Self-Improvement Benchmark
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Love this project: nanoGPT -> recursive self-improvement benchmark. Good old nanoGPT keeps on giving and surprising 🙂 – First I wrote it as a small little repo to teach people the basics of training GPTs.
– Then it became a target and baseline for my port to direct C/CUDA -
Forecasting Principles and Practice Third Edition by Hyndman
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"#Forecasting: Principles and Practice" (3rd edition) by Rob J Hyndman Read the complete book online here: http://
otexts.com/fpp3/
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Get a print copy here: http://
amzn.to/3Khvr5K
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#DataScience #PredictiveModeling #TimeSeries #PredictiveAnalytics #MachineLearning #RStats -
50 Essential Algorithms Every Programmer Should Know
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50 #Algorithms Every Programmer Should Know: http://
amzn.to/3Mi1hAk via @PacktDataML —————
#DataScientist #DataScience #Coding #Mathematics #MachineLearning #Statistics #ComputerScience #AI #Cryptography #ComputationalScience -
AI Productivity Gains Proven Real Users Survey Data
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The repeated argument that AI is not actually useful to real people needs to be retired based on the representative national surveys we now have on real AI users. Teachers using AI report 6 hour a week time savings. Workers using AI report 3x productivity gains on 1/5 of tasks.
