Hacker

Connecting Reasoning, Model Editing, and LLM Knowledge: RECKONING's Contribution to AI Research

No technological innovation comes without sacrifice. The pendulum will swing back to the people! Wanna' be 501c3. byThe Tech Reckoning is Upon Us!@reckoning byThe Tech Reckoning is Upon Us!@reckoning ...
XDA Developers on MSN

Local LLMs are powerful, but cloud AI is still better at these 3 things

There are trade-offs when using a local LLM ...
IEEE

Magneto Inductive (MI) Channel Variables Prediction Through Machine Learning Linear Regression Method, for Underwater and Underground WSNs

Abstract: In today’s digital era, where information flows seamlessly and is readily available and accessible. However, these information and communication systems are highly dependent on the ...
IEEE

ARLIE: Adaptive Reinforcement Learning with Inductive Embeddings for Fully-inductive Multi-hop Reasoning over Temporal Knowledge Graphs

Abstract: Temporal knowledge graphs (TKGs) effectively capture the dynamic evolution of events over time, emerging as a critical driving force in the advancement of artificial intelligence. In recent ...