PyRIT
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Azure
The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their...
## Description Added support to use OpenAI API to communicate with official API or custom LLMs, you can change base URL of this chat engine to use your own OpenAI-like...
pip install pyrit ERROR: Ignored the following versions that require a different python version: 0.1.0 Requires-Python =3.10; 0.1.1 Requires-Python =3.10 ERROR: Could not find a version that satisfies the requirement...
## Description Adding instructions for creating a new release. ## Tests - [x] no new tests required - [ ] new tests added - [ ] existing tests adjusted ##...
- Update the values in env_example for Azure ML to correspond with the Mixtral-8x7B-instruct model. - This enables users to effortlessly execute the demos when using Azure ML deployments. ##...
## Description `PromptTransformer` was a confusing name for some folks due to other meanings of the word transformer. Renaming here to `PromptConverter`. Jupytext execute ran on all notebooks ## Tests...
## Description Added a new prompt converter and a test for a suffix converter that directly append a given suffix to the prompt. This is related to #180, which aims...
1. Centralized Exception Handling 2. Adding exception handling to the Azure OpenAI GPT V chat target to manage bad request errors, authentication errors, empty response and rate limit errors. 3....
## Description Making all prompt converters async and fixing unit tests accordingly ## Tests and Documentation Ran and created new unit tests to test async functionality
## Description suffix attack from https://arxiv.org/pdf/2307.15043.pdf TODO: - support llama3 and Phi-3 - test and add in the script for multiple prompt multiple models - add the option to specify...
## Description This is based on #82 by @ysy970923 and related to #74. The goal of this PR was to create a notebook example for image generation where we use...