About this document
Building Self-Improving LLMs with Open Source by suhaas233 is a document available to read on EtoBox.
The document discusses the development of self-improving Large Language Models (LLMs) using open-source technologies, emphasizing their ability to learn and adapt continuously post-deployment. It outlines a comprehensive architecture that includes foundation models, orchestration layers, self-critique systems, and evaluation frameworks, all aimed at enhancing model performance through feedback and iterative improvements. Additionally, it addresses bias amplification and the importance of diverse evaluation
- Author
- suhaas233
- Language
- EN