AryaXAI - The ML Observability platform for 'AI'
Vinay Kumar Sankarapu, Ketaki JoshiReceive the latest insights, news and opinions about responsible AI practices, model risk management, explainable AI, AI governance framework and much more.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 22 | Subscribers | Read | aryaxai.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Insights On-Demand: Beyond Explainability – Evaluating XAI Methods with Confidence Using XAI Evals
We’re excited to share the story behind the development of XAI Evals, AryaXAI’s open-source framework built to bring confidence and clarity to evaluating explainability methods in AI systems.
Insights On-Demand: Inside the Black Box: Interpreting LLMs with DLBacktrace (DLB)
We’re excited to share the story behind the development of DL Backtrace - our Mode-agnostic explainability technique, purpose-built for deep learning models. DLBacktrace (Arxiv & Github), developed by AryaXAI, introduces a novel approach to...
What is AI Alignment? Ensuring AI Safety and Ethical AI
As we try to build powerful, intelligent AI systems, ensuring they perform exactly as intended becomes a true challenge - as the system capabilities improve, so does the misalignment. Considering the increasingly large impact Artificial Int...
Research Paper: Reviewing the Risks of AI Technical Debt in Financial Services Industries (FSIs)
### Download the Research paper here
Authors
The writers behind this newsletter.
I'm founder and CEO of Arya.ai. Most of the time, I'll be either building a ML model or breaking it. Had been working on Deep Learning & ML since 2013. My next bets 'synthetic AI' & 'Multi model LLMs'!
Marketing Manager driving outreach and messaging to the BFSI community about using Artificial Intelligence driven products to gain growth and efficiency. Helping explore and develop opportunities for collaboration.
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