ReAlign models instantly, on demand. Per-request alignment for verified users and channels, or Always On. Use directly or with Hermes, OpenClaw and custom harnesses.
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Updated
Nov 6, 2026 - Python
ReAlign models instantly, on demand. Per-request alignment for verified users and channels, or Always On. Use directly or with Hermes, OpenClaw and custom harnesses.
Test and evaluate Large Language Models against prompt injections, jailbreaks, and adversarial attacks with a web-based interactive lab.
A comprehensive blueprint for Large Language Models(LLMs). A rigorous curriculum covering transformer architectures, pre-training dynamics, parameter-efficient fine-tuning (PEFT), RAG orchestration, model quantization, evaluation, and alignment.
Constrained adaptation of language models on a manifold of valid adapters, studied as a safety mechanism: poisoning resistance, out-of-distribution detection, and few-shot regularization, by construction rather than by heuristics.
French course summary on LLM post-training, covering SFT, DPO, reinforcement learning, preference optimization, and model alignment.
This repository introduces the AraIslaMorals framework, utilized to investigate the alignment of Large Language Models (LLMs) with Arabic-Islamic moral values through three complementary methodologies.
Modular LLM Evaluation Harness & Automated Model-as-a-Judge Benchmark Engine
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