Artificial Intelligence #246

Hey, in this issue: answering 3 big questions about AI in the workplace; how AI is changing the reports police write; were RNNs all we needed?; larger language models become less reliable; a visual guide to mixture of experts; a framework for few-shot evaluation of language models; and more.

The sponsors of this issue are Galileo and Switchy.

• [Gallup] AI in the workplace: Answering 3 big questions
• [The Guardian] How artificial intelligence is changing the reports police write
• [ArXiv] Were RNNs all we needed?
• [Sponsored] Expert insights at GenAI Productionize 2.0

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• [Nature] Larger and more instructable language models become less reliable
• [HBR] Want less-biased decisions? Use algorithms.
• [Explained] A visual guide to mixture of experts (MoE)
• [Sponsored] Get 200+hrs of research on AI tools packed in 3hrs. Register for the Mini-Course on AI, ChatGPT (free for first 100 people)
• [Tool] lm-evaluation-harness: A framework for few-shot evaluation of language models
• [Stanford] storm: An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations

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