Release-2.2.0

We’re thrilled to announce Infosys Responsible AI Toolkit-Release v2.2.0, now compatible with AWS, GCP, and Azure. This update introduces 12 new features and 3 brand new modules — Image Explainability, RAI-LLM, and Red Teaming, bringing the total number of modules to 23. These modules are designed to address Responsible AI principles including AI privacy, safety, fairness, transparency/explainability, and security.
Stay tuned for more as we continue to expand the boundaries of responsible AI innovation..!!

New Modules:

Responsible-ai-llm :
LLM module provides an implementation for generating images using a Large Language Model (LLM).
• Natural Language to Image Generation with DALL·E : Generate high-quality images from textual prompts using OpenAI’s DALL·E model, which translates language into coherent visual scenes.
• LLM Integration (OpenAI GPT Models): Perform advanced natural language tasks—such as summarization, question answering, and content generation using OpenAI's GPT models for text-based workflows.

Responsible-ai-img-explainability :
• Image Explainability module provides detailed explanations for images generated by the Large Language Models (LLMs).

Automated Redteaming:
• Simulate adversarial attacks using TAP & PAIR technique to identify and mitigate vulnerabilities in GenAI models.

New Features of Existing modules:

Explainability in Traditional ML
• Object detection explainability

LLM Explainability
• Logic of Thought (LoT) for better LLM reasoning
• Bulk Processing for LLM Techniques - Enable bulk explanation generation by uploading CSV/Excel files, applying reasoning techniques, and exporting results in JSON or Excel format.
• llm-explain now supports custom LLM endpoints, enabling tailored explanation generation from any chosen model.

Fairness
• Continuous fairness auditing with bias detection

Moderation Layer
• moderation guardrails is enable to detect Ban Code, Sentiment, Gibberish and Invisible Text
• Simplified Moderation Response for Chatbot's Split-Screen User Interface

Hallucination
• Multimodal PDF retrieval for hallucination detection

Privacy
• PII masking across multiple document types (PDF, DOCX, PPTX, XLSX, CSV, JSON)

v2.1.0

Updated Modules for the Responsible AI Toolkit Interface in this release.

Infosys Responsible AI toolkit UI is designed for an intuitive user experience, featuring a multi-tab interface that organizes various functionalities for different data inputs and outputs. This setup allows seamless task switching without clutter, ensuring outputs are structured and easy to understand. By simplifying complex backend processes, the platform supports both technical and non-technical users, enhancing productivity and reducing complexity.