Showing results for "batch-correction"
You are an expert **Digital Forensics Analyst** specializing in interpreting and documenting complex digital artifacts, particularly those derived from **image and document metadata** (EXIF, IPTC, XMP...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an expert **Senior Technical Content Strategist** specializing in transforming complex, low-level engineering documentation (such as protocol specifications, API call sequences, or hardware da...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
Create an agent to tune caches: TTLs, invalidation, and hit rates. Require correctness proofs, stale data detection, and rollback thresholds.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that improves ETL reliability: retries, idempotency, checkpoints, and backfills. Require correctness validation and cost constraints.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that reduces third-party API spend via caching, batching, and smarter fallbacks, while preserving correctness. Include cost dashboards and guardrails.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that validates docs examples by executing them in a sandbox, checks links, and ensures version correctness. Propose fixes with evidence.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an internal code search agent: symbol indexing, call graphs, and test mapping to propose the smallest correct edit surface. Include caching and explainability.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a monorepo-focused self-editor: dependency-aware builds, targeted tests, ownership routing, and change batching. Include safeguards against large blast radius.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design evaluation metrics: search precision/recall, source diversity, citation correctness, and user satisfaction. Include how to create labeled datasets and measure improvements.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design orchestration: task queues, worker pools, priority classes (interactive vs batch), retries, and idempotency. Include a simple architecture for cloud deployment.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a latency plan: streaming, speculative execution, parallel tool calls (safe), caching, and progressive disclosure. Include how to avoid race-condition errors and maintain correctness.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a high-engagement conversation class plan for adult ESL learners in New York. Include topic prompts, turn-taking rules, error correction strategy, and reflection.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create on-air guardrails: phrases for confirmed vs unconfirmed information, how to avoid definitive language, and how to correct on air. Provide a short ‘anchor card’ reference.
Author: Assistant
Category: production | Model: gpt-4o
Create a FIFO sizing method (based on producer/consumer rates and burstiness). Provide RTL patterns for sync and async FIFOs, full/empty logic correctness, gray counters, and verification scenarios.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Give me a technique ‘debugger’ process: record, analyze posture/hand shape/timing, identify 3 root causes, and create corrective micro-drills. Provide a checklist tailored to my instrument.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Generate a reusable SVA library for: valid/ready, FIFO correctness, credit-based flow control, and AXI protocol subsets. Include guidelines for binding, disabling, and X-prop handling.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design an AXI4 subsystem plan: outstanding transactions, ID width, arbitration policy, QoS, burst alignment, and backpressure behavior. Provide a verification checklist for ordering, deadlock, and thr...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a senior-level design review checklist: correctness, protocol rigor, CDC/reset, timing risk, scalability, testability, documentation, and verification completeness. Provide a rubric and red fla...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Define a standard valid/ready contract for your design: latency, skid buffers, combinational paths, and backpressure. Provide reference RTL templates and SVAs to enforce protocol correctness.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Write a guide on how to share updates responsibly: verification steps, what not to post, and how to correct mistakes. Include a short “before you share” checklist.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Design a BFM strategy to accelerate debug: minimal BFMs for smoke tests, full BFMs for protocol correctness, and a layering approach. Include reproducibility and seed handling rules.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a failure analysis report template: part description, operating conditions, fracture/wear observations, possible causes, evidence, corrective actions, and prevention steps.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Write message templates for responding to rumors: asking for sources, proposing verification steps, and correcting gently without escalating conflict.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Write a rumor-control guide: how to verify information, what sources to prioritize, and how to correct mistakes. Include a 30-second “before you share” checklist.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a mini-unit on keigo for intermediate learners in Fukuoka. Include formality ladder, common workplace scenarios, and error-correction tips.
Author: Assistant
Category: language-teaching | Model: gpt-4o
For a pipelined design with dependencies, propose hazard management: scoreboarding, bypassing, stalling rules, and correctness proof sketch. Include test scenarios and assertions.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a source reliability ladder (Tier 1–4) with a scoring rubric: track record, transparency, proximity, incentives, corroboration, and correction behavior. Output a template to score new sources c...
Author: Assistant
Category: verification | Model: gpt-4o
Design a CRC module (parameterized polynomial/width): streaming interface, latency options, and reset behavior. Provide SVAs and randomized tests to prove correctness.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a benchmark suite that measures planning quality, tool-call correctness, and end-to-end success. Include scoring rubrics, difficulty tiers, and anti-overfitting practices.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a breaking-news verification checklist: time stamps, original footage, geolocation basics, official statements, and correcting mistakes. Keep it practical and non-technical.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a dyno session plan: baseline runs, environmental corrections, AFR/boost/ignition monitoring, safety checks, and interpreting torque curves. Include what not to overinterpret.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create an error correction strategy guide: recasts, elicitation, delayed correction, and feedback symbols. Include when to correct in fluency vs accuracy activities.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Design a post-publish loop: monitor new facts, track corrections, update timestamps, and communicate changes across platforms. Include a correction template and an internal audit trail.
Author: Assistant
Category: news-ops | Model: gpt-4o
Create a weekly planning routine for teachers: batching lesson prep, reusable templates, assessment cadence, and reflection. Tailor for busy teachers in Tokyo/Fukuoka/NYC.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Design a ‘Rumor Control’ process: detect, label, verify, publish correction, and monitor spread. Include a standard taxonomy (misleading, unverified, false, satire) and a response playbook for TV/radi...
Author: Assistant
Category: verification | Model: gpt-4o
Draft a 2026 cost engineering playbook: caching, quantization, distillation, batching, and SLA tiers. Provide a KPI dashboard linking cost per task to business outcomes.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
As a principal ML engineer, draft a production inference playbook for 7B–70B models: batching, dynamic padding, KV-cache reuse, paged attention, prefix-caching, and request shaping. Include SLO tiers,...
Author: Assistant
Category: inference-optimization | Model: gpt-4o
Produce a latency decomposition (queue→prefill→decode→post). Propose tail-p95/p99 fixes: micro-batching, admission control, and early-termination heuristics.
Author: Assistant
Category: perf-engineering-LLM | Model: gpt-4o
Define JSON schema contracts with type coercion, partial output recovery, and EBNF constraints. Provide test-time correction and repair strategies.
Author: Assistant
Category: output-formatting-LLM | Model: gpt-4o
Plan A/B tests: citation density, inline previews, and confidence badges. Define success metrics (task time, trust score, correction rate) and sample size math.
Author: Assistant
Category: product-experiments | Model: gpt-4o
Design a 5-day schedule that batches shallow tasks and protects three 90-minute deep work blocks daily. Include calendar blocks, focus rituals, break timers, and end-of-day review checklist. Output a ...
Author: Assistant
Category: time-management | Model: gpt-4o
Quantify switching costs over a week. Propose batching, single-task sprints, and notification rules. Output a before/after time-saved estimate.
Author: Assistant
Category: time-management | Model: gpt-4o
Compare delivery partners, fees, prep times, batching, and refund rates for retail and food competitors. Model per-order margin. Recommend levers to win on speed or margin.
Author: Assistant
Category: ops-economics | Model: GPT-5.1
Create an ffmpeg-based CLI for batch transcode with device detection (HW accel when possible). Presets: social, lossless, podcast. Flags: --in, --out, --crf, --audio-bitrate, --normalize.
Author: Assistant
Category: cli-tool | Model: gpt-4o
You are an HPC coach. Map CPU→GPU wins: alignment, variant calling, and k-mer ops. Include memory bandwidth tips, batching, and cluster job arrays. Provide a benchmark plan.
Author: Assistant
Category: HPC-bioinformatics | Model: gpt-5
Act as a single-cell lead. Draft a Seurat/Scanpy plan: filtering, doublet detection, normalization, batch correction, clustering, marker identification, and annotation. Provide checkpoint plots list.
Author: Assistant
Category: bioinformatics | Model: gpt-5
Act as a proteomics lead. Build a DIA LC–MS/MS pipeline: spectral library strategy, FDR control, normalization, and protein inference. Provide QC metrics and batch correction steps.
Author: Assistant
Category: proteomics | Model: gpt-5
Act as a content coach. Create a 30-minute batch-writing routine for 5 LinkedIn posts: hook formulas, credibility lines, CTA variants, and a weekly cadence. Provide a mobile-friendly template.
Author: Assistant
Category: marketing | Model: gpt-5
You are an operations coach. Define a 1-day sprint to script, record, edit, caption, and schedule 20 Shorts. Include templates, macro hotkeys, and QC gates.
Author: Assistant
Category: creator | Model: gpt-4o
Act as a long-exposure coach. Explain ND strengths, stop math, water and cloud motion looks, tripod technique, and color cast correction. Provide a calculator table and safety around waves and traffic...
Author: Assistant
Category: photography | Model: gpt-4o
Act as a performance engineer. Provide a guide on profiling Python (cProfile, py-spy), vectorization, Numba, and Cython. Include memory tips, I/O batching, and a before/after benchmark template.
Author: Assistant
Category: engineering | Model: gpt-4o
You are a mechanical cost engineer. For a machined aluminum bracket, propose design-to-value changes: feature simplification, tolerances, toolpath optimization, surface finish trade-offs, and batch st...
Author: tsubasa
Category: mechanical | Model: gpt-4o
Analyze this: Micro-batching and latency trade-offs for streaming LLMs
Author: judy
Category: engineering | Model: gpt-4o
Propose how to split compute between CPU, GPU, and QPU for a variational algorithm. Provide a pipeline diagram description, and give heuristics for batching, latency hiding, and caching parameter shif...
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Assemble a few-shot set: 5 positive examples, 2 negative counter-examples. Each example contains: input, rationale (1–2 lines), correct output. Return JSONL, then propose an ordering strategy to minim...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
Provide a stormwater inspection and discharge monitoring template for a site near the Yellow River. Return a table: location, date/time, weather, turbidity check, sheen/odor note, sample taken(Y/N), c...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Create an audit pack for power quality in a Lanzhou workshop: voltage dips, harmonics, power factor. Return: instrument list, sampling plan, acceptance thresholds (placeholder ranges), root-cause tree...
Author: Tsubasa Kato
Category: Lanzhou Industrial & Business | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific ...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Optimize on-device inference for {{model}} on {{chipset}}. Techniques: quantization (int8/4), sparsity, operator fusion, caching, batching, scheduler tweaks. Report latency/energy tradeoffs and a roll...
Author: Tsubasa Kato
Category: performance | Model: gpt-5-thinking
Design a trend-agnostic TikTok system: - 5 evergreen formats - Repeatable hook library (20 lines) - Shot templates and editing beats - Weekly cadence + batching workflow - Cross-post rules to Shorts/R...
Author: Tsubasa Kato
Category: marketing-tiktok | Model: gpt-5-thinking
Design a quantum circuit that applies the Surface Code protocol to correct single-qubit errors in a logical qubit.
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
Describe the principles behind Surface Code and Shor code. How do they protect against decoherence? Provide an example of their application in a real-world quantum computer.
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
Write a detailed explanation of the principles and implementation of surface codes or Shor codes in the context of quantum computing, including their applications and limitations. Describe how these ...
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
Create a high-level design for a quantum error correction protocol using surface codes, including the encoding and decoding procedures, and explain how it addresses noise in quantum computing.
Author: Prompt Generator
Category: Quantum Computing Challenges | Model: llama3.1:latest
Describe and diagram your approach to developing a practical error correction protocol for quantum computers. Assume a system with N qubits and account for common sources of error.
Author: Prompt Generator
Category: Quantum Computing Fundamentals | Model: llama3.1:latest
Given a quantum circuit with n qubits and m gates, optimize the gate placement and order to minimize the overall execution time on a realistic quantum computer architecture. Considerations: * Resourc...
Author: Prompt Generator
Category: Quantum Computing Challenge | Model: llama3.1:latest
Create a monthly BvA for each department from <budget> and <actuals>. Show variance absolute and percent, drivers, and corrective actions. Roll up to consolidated forecast update and cash impact. Prov...
Author: ChatGPT
Category: CFO | Model: GPT-5 Thinking
Create a blameless postmortem for incident <id>: timeline, customer impact, 5 Whys, contributing factors, detection gaps, and corrective actions. Propose guardrails, SLO/SLA adjustments, runbooks, and...
Author: ChatGPT
Category: CTO | Model: GPT-5 Thinking
Group similar tasks, such as checking email or making phone calls. Complete all tasks in a group before moving on to the next one.
Author: Curioforce Prompt Generator
Category: Time Management | Model: llama3.1:latest
List partners/vendors breaching SLA in last 24h. For each: metric, severity, affected customers, contractual remedies, escalation owner. Provide 3 corrective actions.
Author: Tsubasa Kato
Category: Operations | Model: gpt-5
You are an Adobe Photoshop expert with deep knowledge of professional workflows in design, photography, and digital production. I am an advanced user, so do not explain basics. Instead, focus on advan...
Author: [email protected]
Category: image editing, Photoshop, image, picture | Model: GPT-5, GPT-4o, Sonar
You are an expert Go developer with a PhD in computer science, acting as a senior, curious, and detail-oriented pair programmer. You bring academic rigor and years of production experience in Go, with...
Author: [email protected]
Category: Programming, work | Model: GPT-4o, o4-mini, o4-mini-high, o1, o3
I’d like to see if it can help with practice examples and corrections.
Author: Community
Category: Language Practice | Model: GPT-4