Showing results for "tuning"
Explain input latency and debounce basics conceptually for makers. Provide guidance on testing input responsiveness and tuning for comfort.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create an 8-week beginner path: start with software tuning, then simple mods, then enclosure tweaks, then small hardware upgrades. Include safety notes and milestones.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Guide me to tune button feel: switch selection, plunger geometry, damping, and noise. Provide an A/B test method and a scoring rubric for feel.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Provide a fan noise tuning guide: curve shaping, hysteresis, and target temperatures. Include a method to A/B test perceived noise and comfort.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Create review prompts that guide humans: “check invariants,” “check auth,” “check rollback.” Tune them based on escaped defects and reviewer feedback.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that tunes security scanners (SAST rules, allowlists) based on confirmed findings and false positives. Require approvals for any rule weakening.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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 tunes retry/backoff/rate-limits based on telemetry. Require proofs that error rates drop without raising costs or latency.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent to tune security headers and CSP safely: staged enforcement, report-only mode, breakage monitoring, and rollback. Require security team sign-off.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a performance tuning agent that profiles hotspots, proposes targeted optimizations, validates with benchmarks, and documents tradeoffs.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create decision criteria for retraining vs prompt tuning vs retrieval updates. Include risk analysis, expected impact, validation requirements, and rollback strategies per approach.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a ranking formula: lexical relevance, semantic similarity, trust score, freshness decay, and diversity penalty. Include how to tune weights and validate offline/online.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a source scoring rubric: domain trust, author expertise, citations, recency, and conflicts of interest. Output a weighted scoring model and how to tune it per domain.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a sim racing setup plan: wheel settings, force feedback tuning, braking calibration, seating ergonomics, and training drills. Include a method to track lap consistency improvements.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create an audio tuning plan for positional awareness: headset selection criteria, EQ ranges (general), HRTF options, and in-game audio settings. Include a quick test track routine to validate improvem...
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Create a disagreement framework: clarify intent, show evidence, propose alternatives, and align on goals. Provide scripts for meetings and async messages, with cultural tuning by region.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Create a career narrative generator: your strengths, proof points, and ‘why now’. Output versions for interviews, networking, and internal promotions, tuned for USA/Europe/Asia expectations.
Author: Assistant
Category: global-business-advice | Model: gpt-4o
Create a voice practice plan: breath support, resonance exercises, vowel tuning, diction (English/Japanese), and warm-down. Include a safe progression and how to avoid strain.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Create a suspension setup workflow for cars, motorcycles, and bicycles. Include sag, preload, compression/rebound damping, ride height, geometry effects, tire pressure interaction, and a test loop for...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a tire strategy for cars, motorcycles, or bicycles based on surface, load, weather, speed, and ride goals. Include pressure tuning, wear reading, heat signs, casing choice, and replacement crit...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create maintenance routines by instrument family: string changes, woodwind pad care, brass valve care, drum head tuning, and piano basic care. Include schedules and warning signs for professional serv...
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Create an ECU tuning risk review: fuel, ignition, boost, knock detection, temperatures, emissions/legal considerations, and validation steps. Keep it safety- and compliance-focused.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a general earthquake preparedness plan: securing heavy items, safe spots, family check-in plan, and post-event safety checks. Tailor to common building types in Europe/Asia/USA/Africa.
Author: Assistant
Category: preparedness | Model: gpt-4o
Create a data logging plan for performance diagnosis: what channels to log, sampling rate, test conditions, annotation method, and how to compare before/after changes.
Author: Assistant
Category: vehicle-engineering-mechanics | 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
Design a pitch accuracy trainer: drone work, tuning exercises, interval singing/playing, and how to use AI-assisted feedback without over-relying on it. Include weekly benchmarks.
Author: Assistant
Category: music-ai-students | Model: gpt-4o
Create a carburetor tuning diagnostic flow for motorcycles: pilot circuit, needle, main jet, float height, choke/enrichment, vacuum leaks, plug reading, and altitude/temperature effects.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Draft a business case for training/fine-tuning a DSLM: scope, data sources, compliance, expected accuracy lift, cost model vs general LLMs, and rollout phases. Include evaluation and drift monitoring.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Distill a 70B teacher into a 7–13B student: loss mixing (logits+features+policies), curriculum, and temperature tuning. Provide downstream eval deltas.
Author: Assistant
Category: model-compression-training | Model: gpt-4o
Recommend when to use LoRA/QLoRA vs full finetune. Define rank search, target layers, and quantization-aware adapters. Include memory/perf tables per GPU class.
Author: Assistant
Category: parameter-efficient-tuning-LLM | Model: gpt-4o
Specify a training stack with SFT on curated data, preference optimization (DPO/ORPO), and optional RLHF. Include reward hacking tests, guardrails, and evals that predict production behavior.
Author: Assistant
Category: training-pipeline-LLM | Model: gpt-4o
Design a multilingual alignment plan (zh/ja/hi/id/pt/en): shared subword policy, cross-lingual instructions, and locale-specific refusal tuning. Provide leakage checks.
Author: Assistant
Category: internationalization-LLM | Model: gpt-4o
Specify targets (camber gain, roll center migration, anti-dive/squat) for a sport crossover. Provide a kinematic study plan and bushing tuning roadmap.
Author: Assistant
Category: chassis-dynamics | Model: gpt-4o
Give information that is useful to software enginners: GPU memory optimization for LLM fine-tuning
Author: alice
Category: engineering | Model: gpt-4o
Create a best execution policy in New York tuned to NY DFS cybersecurity program for a broker-dealer (illustrative). Include venues, routing, cost/likelihood factors, and monitoring. Return a policy o...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Create a best execution policy in Geneva tuned to philanthropy and donor-advised fund policies. Include venues, routing, cost/likelihood factors, and monitoring. Return a policy outline and monthly re...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Build a loop that collects model errors/failures and proposes prompt edits. Steps: (1) bucket failures, (2) extract missing instructions, (3) propose deltas, (4) generate 3 patched prompts, (5) quick ...
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
Design a night‑market strategy in India tuned for cold evenings. Focus on: Delhi‑style tandoori & nihari nights. Provide a route map (bullet list with walking sequence), 8 must‑try items, warming drin...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Design a night‑market strategy in Italy (North/Central) tuned for cold evenings. Focus on: polenta e funghi, ossobuco, ribollita, hot chocolate. Provide a route map (bullet list with walking sequence)...
Author: Inspire Search Corp.
Category: Culinary (Winter) | Model: gpt-5-thinking
Produce a 9-second FPV forest run through tall pines with gate-like gaps; smooth, fast, safe pathing; prop wash moves leaves. Motion-blur tuned for 60fps; no people, no animals, pure skill flight.
Author: Assistant
Category: Action | Model: Sora
I’m not a developer—can I still fine-tune or customize an LLM?
Author: Community
Category: Beginner Tutorials | Model: GPT-4