Here is a list of my experimentation with PartyRock@AWS since last 2 days. It seems like an amazing platform. Try out the 11 apps and do provide feedback. What is nice is that it creates apps with widgets and various flows using only one line of description. https://partyrock.aws/u/neil-hsopc/8kdTd2eUX/ResearchMate Welcome to the Research Methodology Assistant. This…… Continue reading PartyRock.aws apps – Part 1
Month: February 2025
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 post. Here are it’s inputs. My focus is on legal accountability and evolution along with visualization / analysis of this meta-data. Some notes on metadata for AI/GAI/LLM and it’s legal ramifications for accountability: Wouldn’t it…… Continue reading 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
Major optimization techniques in Data Science categorized by constrained vs. unconstrained scenarios – Part 1
1. Unconstrained Optimization Methods (Used when there are no explicit constraints on variables) Gradient-Based Methods Second-Order Methods Heuristic & Meta-Heuristic Methods Bayesian Optimization 2. Constrained Optimization Methods (Used when optimization involves constraints on variables) Convex Optimization Methods Augmented Lagrangian Methods Penalty Methods Sequential Quadratic Programming (SQP) Interior-Point Methods Constraint-Specific Heuristic Approaches Here are the Wikipedia…… Continue reading Major optimization techniques in Data Science categorized by constrained vs. unconstrained scenarios – Part 1