Tokens are then converted into token embeddings before being passed through the LLM. These are large numeric vectors (e.g., 1 × 16,384 for LLaMA3 (26)) that are intended to represent the semantic ...

open-webui: https://docs.openwebui.com/ This is a web interface and REST API interface on a load of LLM functionality such as RAG-able document stores, unified ...

Lexicon-based embeddings are one of the good alternatives to dense embeddings, yet they face numerous challenges that restrain their wider adoption. One key problem is tokenization redundancy, whereby ...

Excalidraw is an innovative online whiteboarding tool that uses the power of artificial intelligence (AI) to convert simple text prompts into detailed, professional-quality diagrams. Whether you ...

AnythingLLM is an open-source AI application that puts local LLM power right on your desktop. This free platform gives users a straightforward way to chat with documents, run AI agents, and handle ...

The benchmark, Hist-LLM, tests the correctness of answers according to the Seshat Global History Databank, a vast database of historical knowledge named after the ancient Egyptian goddess of wisdom.

The SHREC algorithm is implemented in multiple stages. The measured response time series are mapped into weighted recurrence networks by topological embeddings, where an affinity matrix is constructed ...

Titans combines traditional LLM attention blocks with “neural memory” layers that enable models to handle both short- and long-term memory tasks efficiently. According to the researchers ...