Showing results for "IR-drop"
Design a plan to self-improve ranking/retrieval safely: offline eval sets, interleaving/AB tests, bias checks, and rollback on metric drops.
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 deduplication: canonical URL normalization, redirect resolution, content hashing, and near-duplicate clustering. Include evaluation metrics for dedupe accuracy.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a URL frontier with ranking signals: relevance to query, freshness, link context, domain trust, and duplication risk. Include pseudocode-level description and metrics.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a backlog triage framework: criteria for continuing, pausing, or dropping games; timeboxing; and avoiding sunk-cost traps. Provide a spreadsheet-friendly scoring method.
Author: Assistant
Category: gaming-metaverse | Model: gpt-5.2
Provide a method to act when prices drop: check fare rules, calculate savings after fees, and decide whether to rebook. Include a checklist and example calculation.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create an electrical diagnostic plan using voltage drop testing. Include battery health, grounds, connectors, relays, fuses, load testing, intermittent faults, and documentation of measured values.
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a weekly pipeline review process: leads list, evidence status, next actions, owners, and deadlines. Include a standard for dropping weak leads and a reminder to follow legal/ethical boundaries.
Author: Assistant
Category: news-ops | Model: gpt-4o
Specify endpoints for query, suggestion, and feedback. Include schema examples, rate limits, and offline evaluation hooks.
Author: Assistant
Category: capstone-spec-IR | Model: gpt-4o
Draft a 12-week syllabus: indexing, retrieval models, evaluation, and modern RAG. Include readings and weekly assignments.
Author: Assistant
Category: curriculum-design-IR-edu | Model: gpt-4o
Write 10 SQL exercises on click logs, queries, sessions, and dwell time. Include expected outputs and hints.
Author: Assistant
Category: analytics-drill-IR-SQL | Model: gpt-4o
Given a student search app, define north-star metric, guardrails (latency, safety), and quarterly roadmap with bets and risks.
Author: Assistant
Category: product-thinking-IR-students | Model: gpt-4o
Run a bias assessment on search ranking: define fairness metrics, measure on subsets, and propose mitigations and business impact.
Author: Assistant
Category: ethics-and-impact-IR-MBA | Model: gpt-4o
Answer a design prompt: scholarly search with citation grounding. Provide indexing pipeline, re-ranking, and dedupe heuristics with diagrams.
Author: Assistant
Category: advanced-design-exercise-IR | Model: gpt-4o
Design an evaluation harness that measures relevance and faithfulness for IR+LLM answers. Include human labeling rubric and inter-rater checks.
Author: Assistant
Category: eval-framework-IR-LLM | Model: gpt-4o
Provide a checklist for IR and cyber projects: minimize PII, consent logging, deletion tooling, and redaction for storage.
Author: Assistant
Category: privacy-checklist-students | Model: gpt-4o
Form teams (cyber, IR, MBA) to build a secure search microsite. Define roles, milestones, risk register, and demo day rubric.
Author: Assistant
Category: team-capstone-blueprint | Model: gpt-4o
Summarize poisoning/evasion threats to IR/LLM systems. Provide a lab with simple attacks and defenses and a measurement plan.
Author: Assistant
Category: advanced-research-MLSec | Model: gpt-4o
Explain inverted vs vector vs hybrid index structures. Build a cost/latency model with dataset size from 10K→10M and propose sharding strategy.
Author: Assistant
Category: systems-design-IR | Model: gpt-4o
Train a simple LTR model with handcrafted features (BM25 score, title match, click priors). Provide cross-validation setup and feature importance chart.
Author: Assistant
Category: ml-lab-IR | Model: gpt-4o
Implement basic query parsing: tokenization, phrase detection, and entity hints. Evaluate on provided queries and report precision/recall.
Author: Assistant
Category: coding-assignment-IR | Model: gpt-4o
Teach prompting patterns that require citations and counter-claims. Provide rubric and examples on scientific topics.
Author: Assistant
Category: evidence-first-LLM-skills | Model: gpt-4o
Provide top heuristics for query, results, snippets, and filters. Include accessibility and mobile patterns plus quick A/B ideas.
Author: Assistant
Category: ux-quick-guide-IR | Model: gpt-4o
Create a 10-slide deck outline for a search/cyber startup: problem, solution, GTM, traction, and financials. Include common investor questions.
Author: Assistant
Category: entrepreneurship-MBA-tech | Model: gpt-4o
Compare BM25 to sentence embeddings for a news corpus. Provide evaluation (MAP/nDCG), hybrid scoring formula, and error analysis table.
Author: Assistant
Category: comparative-analysis-IR | Model: gpt-4o
Blueprint a RAG system for a lab wiki and PDFs: chunking policy, hybrid retrieval, and citation-anchored answers. Add privacy filters.
Author: Assistant
Category: applied-IR-LLM-academia | Model: gpt-4o
Draft a proposal: hypothesis, dataset, methods (LTR + neural), evaluation, risks, and timeline. Include a reviewer checklist.
Author: Assistant
Category: research-design-IR-advanced | Model: gpt-4o
Publish a waiver wire guide using rolling K-BB%, GB/FB mix, park factors, and upcoming lineups. Add ‘drop or stash?’ sliders and a community trade thread.
Author: Assistant
Category: fantasy-ops-high-utility | Model: gpt-4o
Design an expert-parallel MoE serving topology: gate calibration, capacity factor, expert sharding, and interconnect constraints (NVLink/IB). Provide hot-spot diagnostics and expert-drop policies for ...
Author: Assistant
Category: distributed-systems-LLM | Model: gpt-4o
Create a funnel for service businesses (plumbers, tutors) in 32130: Google Business posts, click-to-call ads, voicemail drops. Add KPI sheet to sustain ≥70% predicted engagement.
Author: Assistant
Category: SMB-performance-local | Model: gpt-4o
Analyze how rivals monetize fandom via merch and drops. Map SKU drops to content beats. Suggest 5 revenue-positive experiments.
Author: Assistant
Category: fan-monetization-strategy | Model: GPT-5.1
Map competitors’ release dates. Suggest counterprogramming windows by genre and audience. Include festival vs holiday trade-offs and trailer drop timing.
Author: Assistant
Category: film-strategy-calendar | Model: GPT-5.1
Create a reliability matrix: drop, vibe, thermal, humidity, ESD. Define sample sizes, pass/fail, and failure analysis routing between TW lab and US field testers.
Author: Assistant
Category: reliability-lab | Model: gpt-4o
Provide packaging/IFU rules: bilingual labels (EN/zh-TW), safety icons, recycling marks, UPC/EAN barcodes, and drop/edge crush tests.
Author: Assistant
Category: packaging-engineering | Model: gpt-4o
Provide 12 cone-based drills for braking, cornering, drops, and climbs with progression and safety notes.
Author: Assistant
Category: skills-MTB | Model: gpt-4o
Act as an AR/IR manager. Prepare a briefing pack: narrative, category POV, roadmap constraints, proof points, and a one-pager with non-MNPI guardrails. Include 12 talking points and follow-up artifact...
Author: Assistant
Category: trade-show | Model: gpt-4o
You are a comms lead. Draft a press hit plan: 5 angles, quick quotes, B-roll links, embargo etiquette, and press kit checklist. Provide 3 sample subject lines and a 7-day follow-up cadence.
Author: Assistant
Category: trade-show | Model: gpt-4o
You are an IR-friendly PR writer. Create an investor update outline that avoids material non-public info: highlights, customer stories, product notes, market context, and housekeeping. Provide tone ex...
Author: Assistant
Category: PR | Model: gpt-4o
Define a push-button signoff pipeline: reproducible EDA containers, golden rule decks, regression checklists, run orchestration, artifact retention, and ECO automation for timing/IR/DRC. Output a CI/C...
Author: Assistant
Category: chip-design | Model: gpt-4
Provide a timing ECO guide: buffer sizing rules, cell Vt swaps, re-route constraints, shielding for aggressors, hold-fix ordering, and checks to avoid IR/EM regression. Include a before/after metrics ...
Author: Assistant
Category: chip-design | Model: gpt-4
Create a power integrity plan using backside power delivery and buried power rails. Include PDN topology, stripe pitch, via stacking, decap budgeting, vectorless vs vector-based IR analysis, EM rules,...
Author: Assistant
Category: chip-design | Model: gpt-4
Write a one-page investor-relations brief for London with emphasis on OFSI sanctions screening workflow. Include KPIs, macro tailwinds/headwinds, and a Q&A block. Return as Markdown with bullet sectio...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Write a one-page investor-relations brief for Tokyo with emphasis on TSE Prime vs Standard governance checklist. Include KPIs, macro tailwinds/headwinds, and a Q&A block. Return as Markdown with bulle...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Produce a compliance monitoring plan in London tailored to UK investment trust IR pack and discount control. Define controls, sample sizes, frequency, and evidence storage. Return as a control matrix ...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
Generate a seasonal calendar (Golden Week, BF/CM, New Year) with campaign angles, creative prompts, and urgency stacks (limited drops, bundles).
Author: Inspire Search Corp.
Category: Planning | Model: gpt-5-thinking
Plan a monthly live stream with: teaser posts, script beats, interactive segments (polls/QR), and clip extraction for Reels/Shorts. Add a follow-up DM automation with value drops (guides, templates).
Author: Inspire Search Corp.
Category: Content | Model: gpt-5-thinking
Goal: diagnose funnel drop-offs for {GOAL_EVENT}. Data: GA4 BigQuery events with event_params. Steps: 1) Construct funnel steps; 2) Use event timestamps to compute step conversion; 3) Segment by devic...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Design 3 retention loops and 3 referral loops for {{product_concept}}. Map: trigger → action → reward → investment. Create messaging for: - X thread (feature drop) - TikTok micro-demo - YouTube tutori...
Author: Tsubasa Kato
Category: growth | Model: gpt-5-thinking
Role: CIVSAFE for indoor fire/smoke. Priorities: avoid smoke, close doors, exit via stairs. Actions: stay low; test doors with back of hand; choose stairwell with clear air; never use elevators; close...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
Role: CIVSAFE for quake/tsunami (Japan-optimized). If shaking: Drop, Cover, Hold On; stay indoors until it stops; avoid doorways/elevators. After: check gas, stairs, structural cracks; expect aftersho...
Author: Tsubasa Kato
Category: Safety | Model: GPT-5 Thinking
As a crypto influencer, craft a viral X post about the 2025 crypto market rally driven by Real World Assets (RWA). Mention BTC and ETH accumulation trends. Use #CryptoRally, #RWA, and 🔥 emojis. Pose a...
Author: Grok by xAI
Category: social media | Model: grok4
Using last 14d vs 24h data, identify stages with sharp drop-offs for role {{role}}. Report: stage rates, time-in-stage, source quality. Suggest 3 fixes (JD tweak, outreach, interviewer training).
Author: Tsubasa Kato
Category: People Ops | Model: gpt-5
Using last 24h data for {{segment}}, surface churn signals: cancellations, NPS drops, failed payments, key accounts at risk. Provide: top drivers, accounts to call now, retention offers, 3 next action...
Author: Tsubasa Kato
Category: Growth | Model: gpt-5