# Explainability

Transformer Debugger combines automated explainability and sparse autoencoding techniques, allowing for rapid exploration before writing code and enabling intervention in the forward pass to observe its impact on specific behaviors. It identifies and explains the activation reasons of specific components (neurons, attention heads, autoencoder latent representations) within the model, showcasing automatically generated explanations for why these components are strongly activated, and tracks connections between components to help discover circuits.

Phi-2-super is a conversational AI system fine-tuned and optimized based on the Phi-2 base model. Through training with massive text data and the application of direct preference optimization algorithms, it can understand and generate human-like text of high quality. This model boasts the following advantages and features: 1) **Text Generation:** Can generate coherent and relevant text on a wide range of topics. 2) **Multi-turn Dialogue:** Capable of engaging in smooth and natural multi-turn conversations. 3) **Personalization:** Can adapt to different users for personalized conversations. 4) **Safety:** Integrated filtering mechanisms ensure safe and responsible responses. 5) **Explicability:** Built-in causal reasoning capabilities enable the model to explain its answers. 6) **Parameter Adjustability:** Temperature parameters and other settings can be adjusted to control the diversity of generated text.

Aporia is an ML model management observability platform that monitors your ML models through a comprehensive dashboard, ensuring optimal machine learning model performance. It offers features such as explainability, monitoring, root cause analysis, LLM observability, Gen AI, and Guardrails. The Aporia platform is feature-rich, supporting data integration, customization, big data support, security, and privacy.

Censius is an AI observability and model monitoring platform that helps teams understand, analyze, and improve the performance of AI models in real-world applications. It provides real-time monitoring, alert notifications, data visualization, and performance analysis features. Censius helps users track model accuracy, stability, and effectiveness, enhancing model reliability and explainability. Censius' pricing is based on usage and feature packages, offering flexible choices. Censius is suitable for various AI application scenarios, including image recognition, natural language processing, and predictive analysis.