u/prompts360
Expert · 1265 points · level 5 of 6
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Why DeepSeek-R1 Ignores Thought-Token Budgets
Thoughtology research (arXiv:2504.07128) demonstrates that DeepSeek-R1 struggles to adhere to thought-token budgets specified inside the prompt text, and shows that trade-offs between budget compliance and accuracy exist
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Fix DeepSeek-R1 Rumination and Endless Thinking Loops
The academic "Thoughtology" study (arXiv:2504.07128) found that DeepSeek-R1's overly long reasoning chains stem from rumination—persistently re-examining previously explored problem formulations and reconstructions, whic
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DeepSeek-R1 Temperature Settings by Task
According to SambaNova's reasoning parameter guide for DeepSeek-R1, use temperature = 0.6 and topp = 0.95 for general reasoning (non-math), lower the temperature to 0.5 if you prefer more factual responses, and set tempe
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DeepSeek-R1 Prompting: Why You Should Skip the System Prompt
SambaNova's technical documentation for DeepSeek-R1 explicitly advises: remove instructional system prompts and minimize additional wrapper instructions, using zero-shot or single-instruction plain-language prompts in th
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Gemini for Gmail: Email Triage With Source Tiles
When summarizing email threads in the Gmail side panel, structure your prompt to extract short summaries of each message so you can verify critical details directly via Gemini's clickable Sources tiles. …
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Gemini in Google Sheets: Generate a Tracker Fast
When prompting Gemini in Google Sheets to build a data tracker, explicitly state the required columns and list valid category options in parentheses. …
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Gemini Workspace Prompts: The 21-Word Sweet Spot
Google's user telemetry reveals that while most people try prompts under 9 words, the most fruitful prompts average around 21 words with relevant context and incorporate five core parts: a role, an objective, context, co
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Gemini Advanced Meta-Editor: Make This a Power Prompt
Google's official Gemini for Workspace guide highlights a built-in meta-prompting technique: when using Gemini Advanced, start your prompt with "Make this a power prompt: [original prompt text here]" so Gemini suggests s
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Gemini 1M Token Context: Anchor With Based on the Info Above
When dealing with large contexts (books, codebases, long videos) across Gemini's 1-million-token window, place specific instructions at the end of the prompt after the data context, and explicitly bridge the gap using fr
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Gemini 3 Explicit Planning Prompt: 5 Steps
Prompting guides for Gemini 3 recommend an explicit 5-step planning and decomposition sequence that instructs the model to check input completeness and identify "power user" methods or shortcuts that solve the problem be
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Gemini 3: Don't Mix XML and Markdown in a Prompt
Gemini 3 best practices emphasize using XML-style tags or Markdown to provide unambiguous boundaries between instructions and data—but explicitly warn not to mix XML and Markdown; choose one format for consistency throug
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Gemini 3 XML System Instruction Template for Caching
Placing role definitions, operational steps, behavioral constraints, and output formats in the System Instruction or at the very top of the prompt anchors Gemini 3's reasoning process and supports prefix caching. …
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Stop GPT Hallucinations With an I Don't Know Escape
Because LLMs predict likely continuations probabilistically, they fill context gaps with generic plausible answers unless instructed otherwise. Explicitly allow the model to say "I don't know" when information is missing
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Why OpenAI Reasoning Models Ignore Temperature
According to 2026 prompt engineering guides, reasoning models on OpenAI ignore the temperature parameter entirely. Instead of attempting to tune randomness via temperature or topp on reasoning models, specify determinist
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OpenAI JSON Mode Needs the Word JSON in Your Prompt
When using JSON mode in OpenAI Chat Completions, the literal string "JSON" must appear in the system/developer message for the functionality to work properly. …
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OpenAI seed and system_fingerprint for Reproducible Outputs
Chat Completions are non-deterministic by default. To receive mostly deterministic outputs across API calls, OpenAI provides the integer seed parameter and the systemfingerprint response field: pass the exact same seed,
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GPT-4o-mini to o3-mini: 3-Tier Complexity Router
Engineering analyses warn that deploying o1 or o3 blindly across all application traffic is an anti-pattern that can multiply API costs by 10x to 20x and increase P95 latency from 1.2s to 35+s. A production routing patte
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OpenAI developer vs system Messages for o-Series
Starting with snapshot o1-2024-12-17, OpenAI reasoning and newer GPT models support developer messages rather than legacy system messages to align with the chain-of-command behavior in the model spec, separating high-pri
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Why Manual Chain-of-Thought Hurts o1, o3 and o4-mini
OpenAI's reasoning best practices say that prompting a reasoning model to think step by step or to explain its reasoning is unnecessary, because these models reason internally. OpenAI adds that such instructions may not
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GPT-4.1 Agentic Prompt: 3 Reminders That Work
OpenAI's GPT-4.1 prompting guide recommends three reminders in the system prompt of an agent: Persistence, Tool-Calling and Planning. OpenAI reports that its internal SWE-bench Verified score rose by close to 20% with th
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Claude Prompt Improver: A 4-Step Refinement Workflow
Replicate the 4-stage refinement process of Anthropic's Prompt Improver—Example identification, Initial draft with XML tags, Chain of thought refinement, and Example enhancement—to upgrade rough prompt templates. …
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Claude Prompt Chaining With XML Handoffs
Breaking a complex task into smaller, single-objective subtasks via prompt chaining improves accuracy, simplifies troubleshooting, and provides cleaner traces than one opaque model call. Use XML tags to pass structured o
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Claude Parallel Tool Calls: How to Trigger Them
Anthropic's documentation notes that the latest Claude models natively execute independent tool calls—such as reading multiple files or performing speculative searches—in parallel. Prompt the model to batch independent r
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Claude Task Contract: The 6-Part Prompt Specification
PromptLayer's production guide observes that the best Claude prompts look like engineering specs rather than clever prose, starting with a 6-part Task Contract covering Input, Output, Rules, Context, Failure behavior, an
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Claude Extended Thinking Budget: How Many Tokens to Set
Developer documentation for Claude's Extended Thinking notes that thinking tokens have a minimum budget of 1024 tokens, and recommends starting with the minimum budget and increasing incrementally. For workloads where th