Research

Emergent introspective awareness in LLMs \ Anthropic

anthropic.com

Research on the ability of large language models to introspect on their own internal states.

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ResearchA small number of samples can poison LLMs \ Anthropicanthropic.com ResearchLLM-discovered 0 days \ Anthropicanthropic.com ResearchMoral self-correction in large language models \ Anthropicanthropic.com ResearchIntroducing the Anthropic Economic Index \ Anthropicanthropic.com ResearchSoftmax linear units \ Anthropicanthropic.com ResearchScaling laws of learning from repeated data \ Anthropicanthropic.com BlogsHow Ramp automated receipt processing with fine-tuned LLMsModal BlogsHow AI Assistants Can Decode GitHub Repos for UI WritersDocker BlogsApp spotlight: BitlyZapier BlogsAI-generated Awareness Campaigns: Global ImpactHeygen BlogsHow to structure documentation for both AI and human readersMintlify BlogsSuperGLUE: Understanding a Sticky Benchmark for LLMsDeepgram BlogsChatGPT: Putting the “AI” in “Plagiarism” worldwide?Deepgram BlogsHow we made David Beckham speak 9 languagesSynthesia BlogsSigning is Just the StartSocket BlogsWhat is RetoolGPT? How we built an internal AI assistantRetool BlogsJust Enough SQL to Safely Use AI for Data AnalysisMotherduck BlogsCerebras 2024 Predictions for Generative AI, LLMs, and HPCCerebras BlogsFree llms.txt generator: create AI-optimized documentation filesMintlify LearnEverything you need to know about Voice AI AgentsDeepgram