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Regulating AI – How and When

Ability of AI compared to Machines

Feature selection— I

Python Code for AI Exercise: Assigning Sentiment Assignments for unknown words with Large Language Models

Causality using LLM: Paper Review

AI powered Tailor made courses

• Memory Learning, Model Titans (Behrouz et al, 2024)
  “Titans: Learning to memorize at test time. arXiv preprint arXiv:2501.00663” This paper (Behrouz et al, 2024) [1] aims to build a memory learning model that is efficient, uses less memory, and learns andContinue reading “Memory Learning, Model Titans (Behrouz et al, 2024)”
• Nested Learning: Part II
  #ai #llm #deeplearning #ml Here is the video lecture, subscribe for updates, https://www.youtube.com/watch?v=qDwAm1f0JBY Some concerns, it catches the forgetting behavior of LLMs, the context once gone can be looked intoContinue reading “Nested Learning: Part II”
• Nested Learning- Part I-Associated Memory and Momentum
  Here we discuss one of the latest paper in 2025 in AI from Google Research given in [1] reference. The paper is titled, “Nested learning: The illusion of deep learningContinue reading “Nested Learning- Part I-Associated Memory and Momentum”
• Can Animals learn from AI? Do we need AI to do it for our pets?
  Imagine your pets at home when you are outside in the office? What if you can see them? There are three kinds of learning: supervised, unsupervised, and semi-supervised. AI canContinue reading “Can Animals learn from AI? Do we need AI to do it for our pets?”
• Predicting the Insulin dose Intelligently for perusal by humans- Missing Part-Upload Meal Image for Calories!
  #ai #health Note: This method may have some fuzziness assigned to it, but it’s still not foolproof and needs to be validated. Therefore, it’s not fully reliable. Always seek anContinue reading “Predicting the Insulin dose Intelligently for perusal by humans- Missing Part-Upload Meal Image for Calories!”
• RAG Engineering-based Query Specific Summarization
  Here, I present the idea behind Query-Specific Summarization and RAG, and how it can be implemented. Use case. And how to test it. Retrieval Augmented Generation is very well usedContinue reading “RAG Engineering-based Query Specific Summarization”