LLeMpower: Understanding Disparities in the Control and Access of Large Language Models

no code implementations • 14 Apr 2024 • Vishwas Sathish, Hannah Lin, Aditya K Kamath, Anish Nyayachavadi

Large Language Models (LLMs) are a powerful technology that augment human skill to create new opportunities, akin to the development of steam engines and the internet.

Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning

no code implementations • 23 Oct 2022 • Rajesh P. N. Rao, Dimitrios C. Gklezakos, Vishwas Sathish

Here we propose a new framework for predictive coding called active predictive coding which can learn hierarchical world models and solve two radically different open problems in AI: (1) how do we learn compositional representations, e. g., part-whole hierarchies, for equivariant vision?

reinforcement-learning Reinforcement Learning (RL) +1

Graph Embedding Based Hybrid Social Recommendation System

no code implementations • 26 Aug 2019 • Vishwas Sathish, Tanya Mehrotra, Simran Dhinwa, Bhaskarjyoti Das

It is found that the proposed hybrid model outperforms the baseline.

Graph Embedding