Showing results for "adversarial-ml"
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
Design a data quality gate: schema, drift detection, missingness, and label quality checks. Integrate with self-improving code changes to ML pipelines safely.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a continuous red team program: scenarios, cadence, severity scoring, triage workflow, and how findings feed back into the improvement loop. Include a template for red-team reports.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design an evaluation strategy that avoids overfitting: holdouts, rotating test sets, adversarial sets, and blind evaluation. Include rules for when to refresh benchmarks.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a sanitization pipeline for retrieved content: strip instructions, isolate quotes, and prevent tool-use hijacks. Include adversarial test cases and regression suite.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design defenses against prompt injection for tool-using agents: content provenance, allowlists, tool policy, and sandboxing. Include a suite of adversarial prompts for regression testing.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Help me design a domain-specific safety benchmark: representative tasks, policy-sensitive cases, and adversarial cases. Include labeling guidelines and inter-annotator agreement checks.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a stress test plan: malformed inputs, long-context traps, conflicting instructions, and toxic content probes. Provide how to automate and score robustness over time.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a hybrid policy system: deterministic rules for hard constraints, ML classifiers for soft signals, and escalation logic. Provide architecture, failure modes, and monitoring plan.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create an eval-first LLMOps design: golden sets, adversarial tests, continuous regression, cost/latency tracking, and release gates. Include a ‘model change control’ policy.
Author: Assistant
Category: ai-strategy-2026 | 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
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
Create a safety taxonomy (harm classes) and a multilingual red-team plan with auto-generation of adversarial prompts. Provide block/transform policies and human review paths.
Author: Assistant
Category: safety-program-LLM | 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
Generate adversarial questions that would falsify your stock thesis. Provide data sources to check and a pre-commit exit criterion list.
Author: Assistant
Category: investing-discipline | Model: gpt-4o
Train an LTR model to order passages by usefulness. Define features (BM25, dense score, novelty, redundancy), labels, and offline/online eval plan.
Author: Assistant
Category: retrieval-ranking-ml | Model: gpt-4o
ChatGPT drafts prompts and adversarial tests; Cursor integrates an eval harness; Antigravity schedules nightly evals and posts regressions with diffs. Include versioning and approval flow.
Author: Assistant
Category: mlops-llm-quality | Model: gpt-4o
You are an ML researcher. Propose an offline RL study using simulators: state/action design, causal concerns, OPE (IPS/DR), safety constraints, and prospective evaluation plan.
Author: Assistant
Category: ml-methods-health | Model: gpt-5
Act as a path AI lead. Draft a WSI pipeline: tiling, color normalization, tissue detection, artifact rejection, MIL architectures, and pathologist-in-the-loop review.
Author: Assistant
Category: imaging-ml | Model: gpt-5
Act as a ML systems architect. Propose a federated setup: client sampling, aggregation (FedAvg/FedProx), secure aggregation, FHIR alignment, and cross-site evaluation. Provide success metrics and roll...
Author: Assistant
Category: health-IT-MLops | Model: gpt-5
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 mentor for students new to AI. Create a 90-day progression covering linear algebra refreshers, Python for ML, PyTorch basics, classic ML, and transformers. Include weekly goals, reading links...
Author: Assistant
Category: education | Model: gpt-4o
Act as a web-compute mentor. Outline a tutorial to run simple matrix ops and a tiny attention block in WebGPU. Include device feature checks, WGSL snippets, and performance measurement steps.
Author: Assistant
Category: software | Model: gpt-4o
For {{model_family}} training on {{hardware}}: - Estimate energy/emissions baseline - Apply: low-rank adapters, distillation, AMP, token pruning, data curation - Carbon-aware job placement Provide a t...
Author: Tsubasa Kato
Category: mlops | Model: gpt-5-thinking
Act as an AI rollout lead for a sub-50 person company. Deliver a 14-day plan: use cases ranked by ROI/risk, 2 quick-win agents (inbox triage, FAQ/RAG), minimal governance (human-in-the-loop), success ...
Author: Tsubasa Kato
Category: Strategy | Model: GPT-5 Thinking