no code implementations • 10 Nov 2023 • Jennifer Dodgson, Lin Nanzheng, Julian Peh, Akira Rafhael Janson Pattirane, Alfath Daryl Alhajir, Eko Ridho Dinarto, Joseph Lim, Syed Danyal Ahmad
Research into methods for improving the performance of large language models (LLMs) through fine-tuning, retrieval-augmented generation (RAG) and soft-prompting has tended to focus on the use of highly technical or high-cost techniques, making many of the newly discovered approaches comparatively inaccessible to non-technical users.