🚕 From Traffic Prediction to Decision Intelligence — A Graph ML Story
Below are insights from my open book assignment / exam at IIT GNX converted into a blog-based story with help […]
AIML
Dimensions for Artificial Intelligence / GenAI / LLMs / Deep Learning / Neural Networks / Data Science to ponder on – Part 1-Assisted by AI – ChatGPT
🧠 1. Model Performance & Quality Beyond accuracy: ⚖️ 2. Responsible AI / Ethics Along with fairness, bias, explainability, interpretability:
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PartyRock.aws apps – Part 1
Here is a list of my experimentation with PartyRock@AWS since last 2 days. It seems like an amazing platform. Try
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Notes on metadata of LLMs/GAI/AI to tie accountability, liability and more in legal terms plus study it’s evolution and analyze – Part 1
Following up on my thoughts here: https://www.linkedin.com/posts/activity-7296196592175321089-jk1B – I asked ChatGPT on metadata to achieve my goals as in the
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How can portals & commerce have intelligence via LLMs/GAI/ChatGPT/Gemini/etc. – Part 1
Here is my solution template for having intelligence from AI/GAI/LLMs in Portals & Commerce – Part 1:
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Possibilities for AI powered features in Liferay – Part 1 via ChatGPT & Gemini
A good list on possibilities for AI powered features in Liferay – Part 1 from GAI/LLMs. Sharing here for everyone’s
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Notes on explainability & interpretability in Machine Learning – ChatGPT & BARD generated
Explainability and interpretability in neural networks are crucial for understanding how these models make decisions, especially in critical applications like
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Enterprise Content Management & Artificial Intelligence Use cases – Part 1
List of use cases from AI overlapping with Enterprise Content Management: 1. Document classification, automated categorization, tagging and taxonomy 2.
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Links on Machine Unlearning – Part 1
Here are some links on machine unlearning – Part 1: Email me: Neil@HarwaniSystems.in
