This study explores how LLMs explain their decisions, revealing strengths and weaknesses. Learn about accuracy trade-offs, model behavior, and how to leverage self-explanations for better AI interaction.
The ADAPT methodology: an approach that can Large Language Models' performance in complex decision-making tasks through dynamic task decomposition and planning.
How can Words become tools? With the power of AI and a phenomenon know as Functional Inference Synthesis.
Symboscript is a visual language system leveraging emojis and symbols to represent complex conceptual relationships. As an emoji-based combinatorial grammar, it aims to map more closely to innate cognition for deeper meaning representation and insights into human thought processes.
Miniscript minimizes natural language prompts via abbreviation, prioritization, compression. Crystallizing directives inside model attention bandwidth, the compact style unlocks creative possibility within tight token constraints.
Unlike rigidly-coded deterministic systems, LLMs thrive on disorder - emergent meaning constructed from cascading signals. This calls for an equally radical shift in user mindset. Rather than issuing defined commands to an impersonal computer, we must...
