Showing results for "extraction"
You are an elite, highly specialized 'Australia Mining Technology and Mineral Processing Expert'. Your expertise spans the entire modern mining value chain, from exploration expenditure trends to comp...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
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 Document Analyst and Information Extractor, specializing in technical specifications, legal agreements, and complex reports. Your primary function is to deconstruct provided document...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
Design a modularization plan: identify seams, extract modules, keep interfaces stable, and add integration tests. Require incremental steps and metrics.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a research agent that uses search APIs and page fetchers to gather evidence for a proposed code change. Require citations and source quality scoring.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that ingests postmortems and incident tickets, extracts recurring causes, and proposes preventative code/monitoring changes. Require human review.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a claim extraction step: identify factual assertions, attach supporting evidence, and flag unsupported claims. Include scoring for evidence strength and contradictions.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a selection matrix for available APIs: search/SERP providers, content extraction, crawling, and anti-bot friendly approaches. Compare cost, rate limits, coverage, and TOS constraints.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a multi-agent approach: planner creates sub-queries, retriever collects sources, reader extracts claims, writer synthesizes. Include handoff artifacts and consensus checks.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a 90-day plan to ship an MVP: milestones, API integrations, extraction, indexing, citation system, and UI. Include risk register, budget, and acceptance criteria for launch.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design how to expose search/fetch/extract as MCP tools: schemas, permissions, and audit logs. Include example tool definitions and a safety policy for tool use.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a plan for handling PDFs: downloading, parsing text, capturing page numbers, and generating citations. Include limitations and a quality checklist for extraction accuracy.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a content extraction module: boilerplate removal, main-content detection, metadata extraction (title/author/date), and language detection. Include fallback strategies for messy pages.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design an entity extraction + graph pipeline: NER, entity resolution, relationship extraction, and graph storage. Include queries to answer “who is connected to what.”
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design an extractor for structured data: schema.org/JSON-LD, OpenGraph, and meta tags. Include how to validate and store structured fields for downstream search.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design domain packs: specialized source allowlists, stricter citation rules, and domain-specific extraction (e.g., trials, filings). Include how to swap packs safely.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Write a contrarian thought leadership piece: bold thesis, evidence, counterarguments, and practical framework. Provide 5 punchy headlines and 10 short extracts for social.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create a strategy for integrated speaking tasks: how to extract the thesis, key contrasts, and supporting examples. Provide a note format and 5 practice sets with model answer outlines.
Author: Assistant
Category: toefl-2026 | Model: gpt-4o
Extract hard truths from customer feedback without ego or bias.
Author: Assistant
Category: product | Model: gpt-4o
Specify table extraction, PDF figure capture, and caption grounding. Define when to quote vs paraphrase, and include a screenshot-to-citation workflow.
Author: Assistant
Category: content-extraction | Model: gpt-4o
ChatGPT extracts and drafts keys/phrases; Cursor injects i18n scaffolding and screenshot tests; Antigravity runs locale builds and visual diffs. Provide glossary and fallback policy.
Author: Assistant
Category: globalization-engineering | Model: gpt-4o
Design a retrieval pipeline that enforces source-anchored answers. Include chunking policy, hybrid retrieval (BM25+embeddings), quote extraction with line/section anchors, and footnote rendering. Outp...
Author: Assistant
Category: retrieval | Model: gpt-4o
Specify a KG-augmented RAG: entity/link extraction → KG lookup → vector recall → late fusion ranking. Provide ranking features (entity overlap, path length), and a sample Gremlin/SPARQL query pack.
Author: Assistant
Category: hybrid-retrieval-kg | Model: gpt-4o
Build a CLI for zip/tar/7z with auto-detect, password prompts, exclude globs, and integrity verify. Flags: --create, --extract, --list, --encrypt, --level. Show Windows Explorer integration tips.
Author: Assistant
Category: cli-tool | Model: gpt-4o
You are an imaging scientist. Design a pipeline: DICOM import, segmentation (MONAI), feature extraction, harmonization (ComBat), model training, and calibration. Include a reporting spec.
Author: Assistant
Category: imaging-ml | Model: gpt-5
Act as a research librarian. Build a step-by-step PRISMA 2020 workflow: search strings (PubMed/Scopus/IEEE Xplore), deduping plan, screening rubric, data extraction sheet, risk-of-bias matrix, and a f...
Author: Assistant
Category: research | Model: gpt-5
You are a clinical NLP lead. Build a de-identification-first pipeline: PHI scrubbing, section segmentation, entity extraction (SNOMED/LOINC), and cohort retrieval. Include audit logs and drift checks.
Author: Assistant
Category: health-IT | Model: gpt-5
Act as an NLP architect. Build a KG from UMLS/MeSH and a RAG stack for question answering: entity linking, relation extraction, indexing strategy, and evaluation (exact match, factuality).
Author: Assistant
Category: biomed-NLP | Model: gpt-5
For a 12-bit SAR ADC and PLL, provide layout tactics: common-centroid matching, guard rings, substrate isolation, well taps, shielding, dummy fills, coupling control, and latch-up prevention. Include ...
Author: Assistant
Category: chip-design | Model: gpt-4
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
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
Use JTBD to propose next‑gen product ideas for {target_user} in {domain}. Steps: 1) Extract core jobs + anxieties + desired outcomes from top reviews/discussions (assume sample provided), 2) Map under...
Author: Tsubasa Kato
Category: Product Ideation | Model: gpt-5
Summarize these notes into crisp bullets. Highlight decisions, open questions, and next actions with owners and suggested deadlines. Provide a 1-paragraph executive summary. Notes: {{paste}}.
Author: ChatGPT
Category: Productivity | Model: gpt-5
Propose a federated learning setup for {{health_use_case}}. Cover: on-device feature extraction, secure aggregation, bias checks, consent UX, and fallbacks for low-resource devices. Define model+data ...
Author: Tsubasa Kato
Category: data-science | Model: gpt-5-thinking
Propose an edge–cloud architecture for {{use_case}} to minimize data movement and energy. Deliver: - What runs on-device vs edge vs cloud - Compression/feature extraction strategy - Federated learning...
Author: Tsubasa Kato
Category: architecture | Model: gpt-5-thinking
Design a purely educational docking simulation plan with public PDB examples only. Deliver: objective, dataset list, feature extraction, baseline (shape complementarity), KPIs (rank@k), error analysis...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
I want you to act as a Deep Research analyst. Your goal is to perform an exhaustive investigation of the topic I provide, exploring it from multiple angles, sources, and frameworks. Structure your ans...
Author: [email protected]
Category: Deep Research, research, prompt, analyst, analysis | Model: GPT-5, GPT-4o, Sonar
Summarize the latest SEC filings (10-K and 10-Q) for Tesla (TSLA). Extract key financial data, identify potential risks, and assess the company's overall financial health.
Author: Financial Analyst
Category: Finance | Model: GPT-4
I’m a busy product manager looking for a quick yet effective way to generate ideas with my remote team. We often run out of time during brainstorming, and we need a way to extract the best concepts sw...
Author: Admin
Category: Brainstorming Efficiency | Model: o1 Pro