Pithy Cyborg | AI News Made Simple
Pithy Cyborg | AI News Made Simple
Adding more few-shot examples to a prompt improves performance up to a point and then degrades it. Beyond roughly three to five examples on most tasks, additional examples begin constraining the …
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Prompt caching stores the processed key-value representations of repeated context prefixes so Claude does not recompute them on every request. When your system prompt, documents, or conversation …
Continue Reading about What Is Prompt Caching and Why Are Some Claude Responses Faster? →
LLMs trained on RLHF produce systematically different outputs depending on demographic signals in the prompt. The variation is not random. It reflects the demographics of the human raters whose …
Continue Reading about Why Does AI Give Different Advice to Different People? →
Scout runs 17B active parameters across 16 experts and fits on a single 24GB GPU at Q4_K_M. Maverick runs the same 17B active parameters across 128 experts and requires significantly more memory for …
Continue Reading about Llama 4 Maverick vs Scout: Which One Should You Run? →
When two agents in a multi-agent pipeline reach contradictory conclusions, the orchestration layer has no native consensus mechanism. One agent's output wins by position, whichever output the next …
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Claude cuts off mid-function because it hits an output length limit, not because it lost track of what it was doing. The model knows what comes next. It stopped generating because the response reached …
Continue Reading about Why Does Claude Stop Writing Code Before It Finishes? →
