Structured Learning Paths with Synthetic Information
New · Open Source
Kerb - LLM Development Toolkit
Python toolkit for building production-ready LLM applications. Modular utilities for prompts, RAG, agents, structured outputs, and multi-provider support.
Was this section helpful?
Curriculum Learning, Yoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston, 2009Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09 (ACM Press)DOI: 10.1145/1553374.1553405 - Introduces the concept of curriculum learning, demonstrating its effectiveness in training stability and generalization for machine learning models.
WizardLM: Empowering Large Language Models to Follow Complex Instructions, Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang, 2024The Twelfth International Conference on Learning Representations (ICLR 2024)DOI: 10.48550/arXiv.2304.12244 - Details Evol-Instruct, an automatic method for generating progressively more complex and diverse instruction data, directly supporting the creation of structured learning paths for LLMs.