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Large language models excel at medical exams but fall short with real patients, Oxford study finds.
The article AI’s medical skills are stuck behind a human bottleneck, according to new Oxford research appeared first on THE DECODER.
<p>Picture this scenario: An Anthropic Skill scanner runs a full analysis of a Skill pulled from ClawHub or skills.sh. Its markdown instructions are clean, and no prompt injection is detected. N [...]
<p>One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs). [...]
<p>Despite growing chatter about a future when much human work is automated by AI, one of the ironies of this current tech boom is how stubbornly reliant on human beings it remains, specifically [...]