Category Archives: llm

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 and predicts more. Neural learning is the basis of memory-based learning. Forgetting is important too, and too much forgetting can lose essential data about the input.Continue 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 into nested memories and hence can be revised if nested parameters and memories are referenced. The pre training can’t be edited but the computation of temporaryContinue 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 learning architectures” and is published in “Neural Information Processing Systems” . The contributors are: Behrouz, A., Razaviyayn, M., Zhong, P., & Mirrokni, V. The Authors suggest thatContinue 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 can teach in any of these modes, if pets are receptive to it. What if an Intelligent Pet AI App on your TV can guide yourContinue reading “Can Animals learn from AI? Do we need AI to do it for our pets?”

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 used in organizations with their own data. Many organizations have their own data that they do not want to upload to generic servers where a genericContinue reading “RAG Engineering-based Query Specific Summarization”

OpenAI to acquire model training firm Neptune

It also acquired Statsig, Software Applications Incorporated, and Jony Ive’s AI devices startup in the past months. What Neptune does! What is special about Neptune? OpenAI uses Neptune already. With a record of 30,000 projects tracked, Neptune is trusted by 60,000 researchers and 1500 commercial teams. It started in 2017 with Deepsense.ai, and came outContinue reading “OpenAI to acquire model training firm Neptune”

Harmonics Proves a Tough Mathematics Problem. Should we name AI as a contributor or a Co-author in research works?

#ai #mathematics Erdős Problem #124OPEN This is open, and cannot be resolved with a finite computation. http://www.erdosproblems.com Paul Erdős proposed numerous open problems. Erdős Problem #124OPEN This is open, and cannot be resolved with a finite computation., http://www.erdosproblems.com Aristotle by Harmonic verified with Lean proved the above Erdos problem, known as problem number 124. HarmonicContinue reading “Harmonics Proves a Tough Mathematics Problem. Should we name AI as a contributor or a Co-author in research works?”

The magic ball, the external brain, is in the hands of all people of Earth now.

This can’t be reversed. AI. Yes, AI can’t be reversed in many areas. What do we learn from this overwhelming AI hype? We learn that people seek. People seek knowledge. People want to know everything. It’s like carrying a brain in their hands. This brain is an AI that can answer any question they ask,Continue reading “The magic ball, the external brain, is in the hands of all people of Earth now.”

Can humans replace Robots in jobs? 

DOI: 10.13140/RG.2.2.11258.56008 Note: This is a duplicate copy. The original is on authors webpage.            Abstract – In today’s world, there are many robotic endeavours, some focused on intelligence and others on personal robotics. Let’s call the intelligent robot with an AI brain an AI robot, while other robots are calledContinue reading “Can humans replace Robots in jobs? “

PayPal and OpenAI AI Instant Checkouts. Yes chatGPT checkouts in 2026?

Yes you heard it right, checkouts coming in chatGPT. Note: There are authors own views its not just news, more than news.  A collaboration of PayPal and OpenAI. The news made PayPal’s share rise by 13% PayPal has been transforming global commerce for decades now by creating excellent experiences that make money dealings easier, personalized, and secure.Continue reading “PayPal and OpenAI AI Instant Checkouts. Yes chatGPT checkouts in 2026?”