Description
The Open Source Initiative (OSI) has introduced a new definition for open-source AI to clarify its principles and guide policymakers. This definition emphasizes transparency, accessibility, and user rights, including the ability to modify and share AI models. While some criticize it as overly strict, others view it as a balanced compromise between ideals and practicality. The OSI plans to enforce these guidelines and release a list of models that comply with the criteria, aiming to standardize open-source AI practices.
Language models, like those used in AI, process and generate text using tokens, which are units of text smaller than words but larger than characters. The way text is divided into tokens is determined by the model’s training on large datasets. Tokenization is a key step in processing text for...
Published 11/17/24
Retrieval-Augmented Generation (RAG) is a technique that combines the strengths of large language models (LLMs) with external knowledge sources. LLMs, while powerful, are limited by their training data, which can be outdated or incomplete. RAG addresses this by allowing LLMs to access external...
Published 11/17/24