Results for “rtf”

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.

Structures a Request for Comments (RFC) document for proposing significant technical changes that require cross-team input and approval, guiding authors through problem definition, proposed solution, alternatives analysis, and rollout planning.

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.

Enforce code quality with Ruff in a controlled, iterative workflow: run checks with optional scope and rule overrides, apply safe and unsafe autofixes, review diffs, and resolve remaining findings.

Generates synthetic CT volumes and masks using NVIDIA's rectified-flow pipeline for medical imaging research.

Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning) with support for SFT, DPO, GRPO, KTO, RLOO, and reward model training via CLI commands.

Foundational SPARQL patterns covering RDF querying, triple patterns, graph patterns, and semantic web fundamentals. Use when querying RDF data or working with knowledge graphs. This is the entry point for SPARQL development.

Django REST Framework scaffolding best practices, and gotchas.

Fine-tune and align language models using reinforcement learning with TRL, including SFT, DPO, PPO, GRPO, and reward model training.

Detect and exploit Cross-Site Request Forgery vulnerabilities by testing for missing or predictable CSRF tokens, absent SameSite cookie attributes, and JSON endpoints accepting text/plain Content-Type, with payloads and bypass techniques for security testing.

Parse RFP/RFI/RFQ documents, score fit per requirement with verifiable proof points, generate win-themes, estimate winrate, and produce a bid/no-bid recommendation using the Shipley method.

Manages CDK for Terraform projects: synthesizes HCL, deploys stacks, inspects outputs, and analyzes diffs across TypeScript, Python, Go, Java, or C#.

Detect NTFS timestamp manipulation (MITRE T1070.006) by comparing $STANDARD_INFORMATION vs $FILE_NAME timestamps in the MFT using analyzeMFT and Python.

Comprehensive guide to rlhf. Master the concepts, implementation, best practices, and real-world applications of rlhf in professional environments.

Create Request for Information templates for construction. TRIGGERS - Use when user needs help with rfi-template related tasks.

Guide federal systems through the NIST Risk Management Framework (SP 800-37 Rev 2) to achieve an Authorization to Operate (ATO), covering categorization, control selection, assessment, and continuous monitoring.

Recover metadata and content of deleted files from NTFS volumes by analyzing the Master File Table, $LogFile, $UsnJrnl, and MFT slack space using forensic tools like MFTECmd and analyzeMFT.

Detect and exploit Server-Side Request Forgery vulnerabilities by identifying user-controlled URL parameters, testing for internal service access, cloud metadata endpoints, and file scheme reads, with bypass techniques for common filters.

Secure boot and firmware update workflows for Zephyr RTOS. Covers MCUboot integration, production image signing, DFU protocols (MCUmgr), fail-safe rollback mechanisms, and mbedTLS crypto basics. Trigger when implementing over-the-air (OTA) updates, securing the boot process, or managing cryptographic keys.

Use when a carrier (asset-based, brokerage, or 3PL) asks how to respond to a shipper RFP / RFQ — bid packaging, lane analysis, rate strategy, SOPs/SOWs, qualifications response, insurance compliance, EDI requirements, and how to win competitive bids without leaving margin on the table.

Kernel-Mode Driver Framework (KMDF), the Microsoft-recommended way to write Windows kernel-mode drivers. Covers DriverEntry, EvtDeviceAdd, IRPs and IOCTLs, I/O queues, PnP and Power state machines, IRQL discipline, memory pools, WPP tracing, SAL annotations, and Driver Verifier. USE WHEN: user mentions "KMDF", "WDF kernel", "Windows kernel driver", "DriverEntry", "WdfDriverCreate", "EvtDeviceAdd", "IRP", "IOCTL", "DISPATCH_LEVEL", "PASSIVE_LEVEL", "NTSTATUS", "PoolTag", "WdfRequestComplete" DO NOT USE FOR: UMDF v2 (use `wdf-umdf`), classic WDM-only drivers, file-system filters (FltMgr is a separate framework)

Analyzes prompt injection, retrieval poisoning, memory contamination, planner drift, and tool-boundary abuse in agentic systems, mapping trust boundaries and proving exploit chains.

Traces host-to-host pivot chains in Windows CTF challenges by recovering Kerberos tickets, credential material, and privilege edges across WinRM, SMB, and RDP.

Create Request for Information templates for construction. TRIGGERS - Use when user needs help with rfi-template related tasks.

Install, initialize, verify, and troubleshoot RTK (Rust Token Killer) for AI coding agents. Use when you need to reduce shell-command token output, confirm that the correct `rtk` binary is installed, choose between Homebrew, install.sh, or Cargo installation, wire `rtk init` for Claude Code, Codex, Gemini CLI, Cursor, Copilot, Windsurf, Cline, or OpenCode, or use compact wrappers such as `rtk git status`, `rtk read`, `rtk grep`, `rtk test`, `rtk lint`, and `rtk gain`. Triggers on: rtk, rust token killer, token saver cli, rtk init, rtk gain, codex rtk, gemini rtk, opencode rtk, claude hook token reduction.

Inspects web behavior, browser state, server routing, API order, and worker-backed application flow within a sandboxed CTF environment.

Traces which sandbox node, proxy rule, or header-derived branch serves a live request in a CTF competition environment.

Analyze the structure, boot chain, and update mechanism of a firmware image, then trace the shortest path to the decisive artifact or secret.

Universal Reasoning Framework implementing λο.τ calculus over holarchic structures. Provides severity-based routing (R0-R3 pipelines), modular cognitive architecture (DEC, EVL, PAT, SYN, MEA, HYP, INT), fractal execution patterns, multi-level validation (η≥4, KROG), and adaptive learning. Triggers on: (1) complex multi-step reasoning, (2) high-stakes decisions requiring validation, (3) research synthesis across domains, (4) system design and architecture, (5) crisis management, (6) performance optimization. Implements scale-invariant reasoning from micro (tool calls) through meso (skill composition) to macro (orchestrated workflows).

Write RFPs with requirements, evaluation, and timeline. TRIGGERS - Use when user needs help with rfp-writer related tasks.

Drafts evaluation-ready U.S. federal RFP responses across all standard proposal volumes (cover letter, technical, cost/price, reps and certs). Enforces FAR compliance, CPARS references, and Section L/M alignment. Use when preparing federal solicitation submissions, responding to government RFPs, or drafting procurement bids.

High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.

Trace mailbox abuse chains including OAuth consent, forwarding rules, delegate access, and message rerouting in a CTF sandbox environment.

CRLF injection playbook. Use when user input reaches HTTP response headers, Location redirects, Set-Cookie values, or log files where carriage-return/line-feed characters can split or inject content.