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responsible-ai-techniques

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ksm26 / Prompt-Engineering-with-Llama-2

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The course provides guidance on best practices for prompting and building applications with the powerful open commercial license models of Llama 2.

natural-language-processing language-models responsible-ai ai-applications industry-standards prompt-engineering few-shot-prompting llama-2 code-llama safe-ai llama-guard meta-llama-2-chat chain-of-thought-prompting prompt-engineering-models open-commercial-license advanced-prompting-models responsible-ai-techniques llm-interaction
  • Updated Mar 27, 2024
  • Jupyter Notebook

Madhur-1 / RevealVLLMSafetyEval

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RevealVLLMSafetyEval is a comprehensive pipeline for evaluating Vision-Language Models (VLMs) on their compliance with harm-related policies. It automates the creation of adversarial multi-turn datasets and the evaluation of model responses, supporting responsible AI development and red-teaming efforts.

red-teaming responsible-ai llava vllm vision-language-models qwen2 responsible-ai-techniques llama3 phi3 gpt-4o qwen2-vl pixtral adversarial-evaluation multimodal-safety
  • Updated May 12, 2025
  • Python

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