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klotz: anthropic* + deep learning*

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1. Scaling Monosemanticity: Anthropic’s One Step Towards Interpretable & Manipulable LLMs

   An article discussing the concept of monosemanticity in LLMs (Language Learning Models) and how Anthropic is working on making them more controllable and safer through prompt and activation engineering.

   2024-05-29 Tags: llm, neural networks, monosemanticity, polysemanticity, prompt engineering, anthropic by klotz
2. ChatGPT Glossary: 44 AI Terms That Everyone Should Know

   Stay informed about the latest artificial intelligence (AI) terminology with this comprehensive glossary. From algorithm and AI ethics to generative AI and overfitting, learn the essential AI terms that will help you sound smart over drinks or impress in a job interview.

   2024-05-15 Tags: llm, glossary, terminology, technology, chatbot, google, microsoft, meta, anthropic, perplexity ai, humane, rabbit, principles, ethics, long-term impacts, machine learning, deep learning, pattern recognition, human tasks, human-like language, generative content, training data, bias, stereotypes, text data, large language model, model behavior, parameters, prompt, prompt chaining, stochastic parrot, text-to-image generation, tokens, training sets, neural networks, patterns, context, turing test, weak ai, narrow ai, zero-shot learning by klotz

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