Understanding how LLMs work in their most fundamental phase helps you understand how they behave and why they behave like that. Building one helps debunk any theory of consciousness in LLMs, but to do ...

On this page, a step-by-step description of the build process and necessary and optional environment variables is outlined. In addition, based on the experiences of developers and users how-to's for ...

A CLI, Claude Code skill, MCP server, and Python library — all powered by the same 98 Munger-style mental models. Ask for "inversion," "find the bottleneck," or "help me think through X" from any ...

In communities of living organisms, dynamic behavior is often driven by social interactions. Hydrodynamics simplifies the description of systems composed of many interacting constituents. While ...

Phase separation plays a central role in many natural and engineering processes, such as cloud formation, biomolecular condensation, and oil recovery. In most situations, phase separation occurs in ...

Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...

SciBERT is a pre-trained language model specifically designed for scientific tasks in Natural Language Processing. The model is based on the BERT architecture but trained on a large corpus of ...