"Highlighted Chain of Thought" prompting boosts LLM accuracy and verifiability
A novel prompting method called "Highlighted Chain of Thought" (HoT) helps large language models better explain their reasoning and makes their answers easier for humans to verify.<br /> The article "Highlighted Chain of Thought" prompting boosts LLM accuracy and verifiability appeared first on THE DECODER. [...]
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A weekend ‘vibe code’ hack by Andrej Karpathy quietly sketches the missing layer of enterprise AI orchestration
This weekend, Andrej Karpathy, the former director of AI at Tesla and a founding member of OpenAI, decided he wanted to read a book. But he did not want to read it alone. He wanted to read it accompan [...]
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Red teaming LLMs exposes a harsh truth about the AI security arms race
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Grok 4.1 Fast's compelling dev access and Agent Tools API overshadowed by Musk glazing
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Why your LLM bill is exploding — and how semantic caching can cut it by 73%
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Researchers find adding this one simple sentence to prompts makes AI models way more creative
One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite the [...]